{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<module 'dml.models' from 'dml/models.pyc'>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import sys\n",
    "# wtf?\n",
    "sys.path.insert(0, '/usr/local/miniconda3/envs/py27/lib/python2.7/site-packages')\n",
    "\n",
    "import imageio\n",
    "import glob\n",
    "import progressbar\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import optimus\n",
    "import time\n",
    "import random\n",
    "from cStringIO import StringIO\n",
    "import matplotlib.pyplot as plt\n",
    "import PIL\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "# %matplotlib inline\n",
    "\n",
    "import seaborn\n",
    "# import mpld3\n",
    "\n",
    "import json\n",
    "import IPython.display\n",
    "\n",
    "from sklearn.metrics import precision_recall_curve\n",
    "from sklearn.metrics import average_precision_score\n",
    "from sklearn.preprocessing import label_binarize\n",
    "from sklearn.metrics import confusion_matrix\n",
    "\n",
    "import dml.data as D\n",
    "import dml.models as M\n",
    "\n",
    "seaborn.set()\n",
    "np.set_printoptions(precision=4, suppress=True)\n",
    "# mpld3.enable_notebook()\n",
    "\n",
    "pltargs = dict(interpolation='nearest', \n",
    "               aspect='auto', \n",
    "               origin='lower',\n",
    "               cmap=plt.cm.hot)\n",
    "reload(M)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "train = pd.read_json(\"/media/ejhumphrey/workspace/icml-dml/datasets/train.json\")\n",
    "valid = pd.read_json(\"/media/ejhumphrey/workspace/icml-dml/datasets/valid.json\")\n",
    "test = pd.read_json(\"/media/ejhumphrey/workspace/icml-dml/datasets/test.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "index = test.index.tolist()\n",
    "np.random.shuffle(index)\n",
    "test2 = test.loc[index[:500]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(500, 5)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test2.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "graph = optimus.load(\n",
    "    \"/media/ejhumphrey/workspace/icml-dml/models\"\n",
    "    \"/pitch-000/pitch-000-predictor.json\")\n",
    "param_values = dict(**np.load(\n",
    "    \"/media/ejhumphrey/workspace/icml-dml/models\"\n",
    "    \"/inst-pitch-d2-000/inst-pitch-d2-000-050000-20160501_11h57m30s.npz\"))\n",
    "graph.param_values = param_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "res = M.transform_dataset(\n",
    "    test2, graph, \n",
    "    \"/media/ejhumphrey/workspace/icml-dml/outputs\"\n",
    "    \"/instrument-001/instrument-001-050000-20160501_23h25m41s\",\n",
    "    verbose=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "res.to_json(\n",
    "    \"/media/ejhumphrey/workspace/icml-dml/outputs\"\n",
    "    \"/instrument-001/instrument-001-050000-20160501_23h25m41s/output_index.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "res = pd.read_json(\"/home/ejhumphrey/pitch-outputs.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "res = pd.read_json(\n",
    "    \"/media/ejhumphrey/workspace/icml-dml/outputs\"\n",
    "    \"/inst-pitch-d2-000/inst-pitch-d2-000-050000-20160501_11h57m30s/output_index.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "nbs = D.pitch_neighbors(res)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "cstream = D.class_stream(nbs, res, with_meta=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "bstream = D.pescador.buffer_batch(D.class_stream(nbs, res), buffer_size=2500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = next(bstream)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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GwLIs5ubm8OlPf6aiUJNcgiGFAc8755SVDCOS5MK1azewvr4GgMP167esUFZt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zEsFguFQt6c/Pl8XkMHJgIM0+lDBgOhU3O5XLRaLVwu15d56YwxxhiMCc1Th6oe2bZ/9wThYXhQ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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa148b64c>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot four-corner embedding of the four instruments in all configs\n",
    "\n",
    "from mpl_toolkits.mplot3d import Axes3D\n",
    "\n",
    "x = data['x_in'].T\n",
    "y = data['y'].astype(float)\n",
    "y /= y.max()\n",
    "\n",
    "# for idx, (cfg, az) in enumerate(zip(cfgs, [45, 60, 145, 130])):\n",
    "fig = plt.figure(figsize=(8, 8))\n",
    "ax = fig.gca(projection='3d')\n",
    "#     ax = fig.add_subplot(221 + idx, projection='3d')\n",
    "ax.view_init(elev=20, azim=20)\n",
    "#     ax.set_title(\"{}\".format(cfg))\n",
    "# for i, c, m in zip(icodes, colors, markers):\n",
    "#     x = samples[cfg][mrg][i]\n",
    "#     a = 0.2 if i == 'else' else 0.75\n",
    "#     n = 500 if i == 'else' else 200\n",
    "#     x = x[:,np.random.permutation(x.shape[1])[:n]]\n",
    "# for y_i in np.unique(data['y'])\n",
    "yz = 0.1 + np.zeros_like(y)\n",
    "c = np.array([y*.9]*3).T\n",
    "ax.scatter3D(x[0], x[1], x[2], c=c, marker='o', s=20, alpha=0.35)\n",
    "\n",
    "# plt.legend(loc=\"best\")\n",
    "plt.tight_layout()\n",
    "# plt.show()\n",
    "#     fig.savefig(fmt.format(cfg=cfg), transparent=True)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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1cAzLoFY8iOMNdRhbPi5Jr8QaXLqkppM4nDjh+05mZQHTpikipqpKAh+jSfRH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\nmCis9AAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa12126cc>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(8, 8))\n",
    "ax = fig.gca(projection='3d')\n",
    "\n",
    "ax.view_init(elev=20, azim=20)\n",
    "alpha = 0.66\n",
    "\n",
    "for c, i in zip('bgkrycwm', ['trc', 'tp', 'sxt', 'klb']):\n",
    "    row = res[res.instrument == i].iloc[1]\n",
    "    z_out = np.load(row.prediction)['z_out'].T\n",
    "    ax.plot3D(z_out[0], z_out[1], z_out[2], c, linewidth=2, \n",
    "              alpha=alpha)\n",
    "    ax.scatter3D(z_out[0, 0], z_out[1, 0], z_out[2, 0],\n",
    "                 s=100, marker='o', c=c, alpha=alpha)\n",
    "    z_med = np.median(z_out, axis=1)\n",
    "    ax.scatter3D(z_med[0], z_med[1], z_med[2],\n",
    "                 s=100, marker='p', c=c, alpha=1)\n",
    "    ax.scatter3D(z_out[0, -1], z_out[1, -1], z_out[2, -1],\n",
    "                 s=100, marker='^', c=c, alpha=alpha)\n",
    "\n",
    "# x_in = np.load(row.features)['cqt'].squeeze()\n",
    "# fig = plt.figure(figsize=(8, 8))\n",
    "# ax = fig.gca()\n",
    "# ax.imshow(x_in.T, **pltargs)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fcode                           5cc0b3956950059495b0817fa4c5f000\n",
      "features       /media/ejhumphrey/workspace/icml-dml/features/...\n",
      "inst_note                                                 trc_55\n",
      "instrument                                                   trc\n",
      "note_number                                                   55\n",
      "prediction     /media/ejhumphrey/workspace/icml-dml/outputs/i...\n",
      "Name: trc_55_5cc0b3956950059495b0817fa4c5f000, dtype: object\n",
      "fcode                           6547a6ed0b8db04d85507792de52d208\n",
      "features       /media/ejhumphrey/workspace/icml-dml/features/...\n",
      "inst_note                                                  tp_30\n",
      "instrument                                                    tp\n",
      "note_number                                                   30\n",
      "prediction     /media/ejhumphrey/workspace/icml-dml/outputs/i...\n",
      "Name: tp_30_6547a6ed0b8db04d85507792de52d208, dtype: object\n",
      "fcode                           02cf75ced0d9d563ab565252e53d69a5\n",
      "features       /media/ejhumphrey/workspace/icml-dml/features/...\n",
      "inst_note                                                 sxt_43\n",
      "instrument                                                   sxt\n",
      "note_number                                                   43\n",
      "prediction     /media/ejhumphrey/workspace/icml-dml/outputs/i...\n",
      "Name: sxt_43_02cf75ced0d9d563ab565252e53d69a5, dtype: object\n",
      "fcode                           21d1d677be95c647080d1533ea1d51b6\n",
      "features       /media/ejhumphrey/workspace/icml-dml/features/...\n",
      "inst_note                                                 klb_73\n",
      "instrument                                                   klb\n",
      "note_number                                                   73\n",
      "prediction     /media/ejhumphrey/workspace/icml-dml/outputs/i...\n",
      "Name: klb_73_21d1d677be95c647080d1533ea1d51b6, dtype: object\n"
     ]
    },
    {
     "data": {
      "image/png": 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MT0/xq7/6Gzx+PME//If/K7/6q7+x4RwK//gf/1MsK3Kgy/U8j8XFBaanp5iZ\nmWJs7A7T0xP8xm/8GolEgl/6pV/a0gJ8a2O5Zz20iEaXyWR4++1vMjn5mJ6eHlzX4eOPP+SVV16j\nUChsOu/MzAxra6soisrIyCjRaPTA19fR0UFHR3OvWFIUOHfuPI5TJJ/PE4vFuXjx4lNfXjabrU5h\neZ7L8PApenv79vydIAgoFousrCzT3t4FrHfyHR09/dTHspGqaphmtLoaKhy1cQ/Uu0bIlFPTBZoP\nP/wOb731RQBGR0+Tza6Vnygqw9nBgavD33//Pf7u3/3vKRaL234Wj8cZGhpG03TCO1plNCJ8kEpo\nEY1gdXWVR4/GSaVSdHZ2kEwu0dPTi67D3Nwcr7zyavW88/PzrKwsV+tZ7t27y7Vr1+W+fghnzpyp\nvugfxtTUFC0t6yM8MzMzTww0EI7MbRzNUVUVzzvaVVdh0bCBpmk4jo3vu5t619QXCQ/1qOkCTSqV\n5NKly9Xv29raSadTGwIN/OIv/u/Mzc3y4osv8Tf/5n/zxMtsbW3l6tUX6OzsYnj4FENDw9y48RFn\nzpzhR3/0x6rDskHgExbwShGuaCzT01MsLy+TyazQ29tHLBanWCygKCqDg4PVolCAbHatGmaCIGB5\neYXbt2/R3d1DR0fHM1m42yi2riba75YEra2tTE1NVb8vFPKcOlWb3jCKomKakW29ayp1NfLcKXbT\ndIFmq60P6L/+1/8Wb7zxeRKJBH/n7/wC3/zmH/In/sSX97yMK1ee52tf+z83nZZMLhEE/pY5Znkg\nisZTLBaZmJggGrU4ffoMN27coLOzi5GREU6fPsPFi5c2nV/XdUqlEoqi8PDhOOPjDzDNcNXfhQsX\nee21N+jo6Dihv6a5tbUlSKfTWJaF67rE4zsvsd5KVVUuXXqOhYUlggCGhk7R3l7b/+HW3jVBUFka\n7lMZ4T4p9ViAW58rr45X0wWa7u4e0ulU9ftkcomurvWi3x/4gT9d/fpzn/sC4+MPnhhodmKaFqVS\n/nAHK8QJKZVK2LaNruv89m//BzKZNZLJJXRdw7Isstks2WyWCxcubnsCHR09zdjYXWZmZlhcXMCy\nIiQSCYIgYG5ujqmpySMJNMVikXff/RaO4zAwMMC1a9cPfZnPuqGhYXTdYG0tQ2trC8PD+x9lsSyL\n8+cv1PDotqv0rlFVHdsuAEG5eNjf5xYKopk03dq4119/k298478AYcvunp7easFiLpfl537uZ6qr\nk27c+Ij8e66tAAAgAElEQVSzZ8891fWYprnHsu0mbOEoGsb09BS3b3/GBx98m1/91X/O4uISq6sr\nRKMRkskkAF1dHRSLBX7rt35r2+9XHj+2beP7wbYtQCpN2A7r61//HYrFIkHgc//+fb71rbf57LOb\n3Lz5KYuLC0dyHc+ivr4+zp+/wKlTow0TCFRV3VAcrOB5zj5719SK1NDUo6YboXn++WtcunSZn/3Z\nv4qqavz8z/+P/O7v/g4tLS289dYX+eIXv8zf+lt/hVgszoULF/niF7/vqa7HMNaXbQuxt5N5UiwU\n8jx8+BDP8zAMkwsXwnffi4thf5lSqUQsFqVYLKIo4VYEiqLgeR4tLa2oqko+nyeVSlZHOZeXl7l3\nb4yZmWl0XcP3fYIAVleX0XWT9vb2TSOiT8u2bUqlIvF4+GYkErG4efNTPv/5LwAwMTGBaVq0t7cf\n+rpEfaiEL8Ow8H1vQ+8aDcOwpHeNvFFuvkADbCv0PXfufPXrH//xn+THf/wnD30de4/QCHH8giDg\n4cOHFIsFNE0llyuQSLQABrbt8Pu//3uATzodrlDq7u4mGo2RyWTo7Oxgfn6RTCZDd3cP2WwWXdfp\n7OzetLpvZmaaIAiwLAvDMOjp6UZRNGZnZ4hGY1y9+sK+Nhqcm5vj7t1bfPbZbaLRCBcuXOJ7v/d7\nqy9qm1sghKuwCoUChUKBaDSKZVksL6efkUDzdC9Utm2zsDBPJBKlp6fnCK7/pEcjKjUiKoahb+hd\n41Eq5aV3TVXz/v1NGWiOg2EYh9764NnXvA+847C0tESxWKS7u4toNMbExASOU8I0DYIAHjy4x6VL\nzxGLxZiZmWZ+fo6zZ8+yvLyMqqpMT0/R19eP7wdMTk4Qi8V5/fU3GB8fR9d1hodH6O/v3zTiEgQB\n0WgUx3Hw/YClpUWCQGVxcYGuri5+//d/jxs3vstbb32JgYGBHY87l8syPT3Jp59+CsDExCNmZqbJ\n53P84A+GNW6qqnL9+kt88MH7zMxMMzc3i6rqLC0tMDAwSG9vH0NDpzh9+swz9AK3/78jn8/zwQfv\nlzfsdOju7nnilgT7UelJo+v6gZry1YL0rtmsHguVj5sEmhqxrP1tfSBELTx8OE6hkGd1NcNHH31I\nS0sLiUSC9vY2ggAmJx8zPz9HqVTCcWwKhQKpVApNU2lpaUVRFNraOmhv72B4+BRnz57BdT08z6O1\nNUE6vUw6nWR4eIj5+TlGR0+jKApdXd0sLMzT29vHjRsf4TgOjx8/pq+vjw8+eJ+BgX6mpqZ45523\neeWVVzlzZnv339XVDEEQkM1mWVtbIxqNoqoqf/iH/5l0Oo3j2KysrNLT103SWcKzPLr7ullbWWN2\ndo5kMsXo6BqKovB7v/e7vPXWW6ysrJDNrqGqOmfPnt02wvM0HMchCIK6XIb+6NHDauAwDJP5+XnO\nn79AJBI2DHUch0wmQ0tLy6ZtDPbiui737t0jrGHx6O7uZmhouFZ/wr6s967Ry0u8K71rdHTdqlmY\nlRVF9UkCTY0cxeaUQjwNz/NYWVnBtkssL6fJ5dbIZjM8evSQU6dOkUwusbaWJZfLkkqlKBQKeJ5H\nW1tbteNvNpulra2NaDTCyMgIo6OjPHw4zsLCAh0dHeTzOfr7B1heXqatrZ2HD8c5d+48g4ODRCIR\nVleXefy4k0ePHtHe3oGqKqiqQqFQwDBM2traGBsb2zHQ5PNhbc/c3CwdHR3lXZlt0uk0n356g2Kp\nQKQtwq2Vm5RKRbLLWeJ6HFwFx7PJZtaIZCKUZoo8H7nGBx+8T3d3D4Zh4LoOd+7c4oUXXjzUbXzn\nzu1qX5aenh6uX3+pRi9ulWacB7NTe5nKi/DKSpr79x+UR29cRkZG6evbvble5bJmZqaJxeLVvzOV\nStHb23dsIzV7jUCEWyhE0DQPxwmDTaU2TFX1Jgke9TI1eHIk0NSIZW0PNIqiHLgLsRBPq1AokM/n\nsCyLfL5AMrnE2NhdOjs7cV2HtbUs58+fY3l5mZWVFVZXVyiVSkQiFtFolCtXrqIoCu+++w4/9EN/\nhpGR0zx48ABFUYnFYmiahm3baJq2aeuDzs5OZmen8X2v/LM8QRB+XSwWaW1tA0BVFdbWMjx8+Ajf\nd0kkWmhv72JtbbUcoIaZnJwgkUiQSqUByGRXKQUlsstZXN1FdVWUVQXXcrEMC8zwxXU5lyaXzjHp\nTxIoAafPnsHUTEzNwC96fKzeIGbEiOpRInqEqB4Nv9Yi5dOi1Z+Z6ublwel0itnZ2erqyNXVVaan\npzl16tRx/WufaHR0lO9+dxHTNPE8j87OrurxTk5OEYvFcF2X1dUVPvxwkS996cs7bv65UVjg7TA7\nO0sQhM9xjuOc+NTTRuvTUGHvGscpoSgOhhE59L5Tov5JoKmRcLdtGaHZH0l5R0nTNBRFIZlMks/n\nWVvLkkwuUigU6O3tJR6PMzc3RyRisbqaIZVKYRgG0WiM1tZWstksly5drr6Ix2Ixxsbusri4SCqV\nRNcNHMfGNM3qdMvGF4tsdo1UKk1LSyuFQo7u7m5yuRyFQgldNzl37hyLi4u89daf4O7duwRBQCaT\nYXV1maWlFIlEAsMwuHw5PIbV1VWKxQKmaaIYKu6ai+IrtKgtjA6f5rE3Ea7ECsKglSqk8Us+JbuE\nEdOxXYd0MVn9e3K5PBNzj/d9e6qKuinoOMsOxfkClhHB0kwM1eSh8pAznAnPZ8SIapENQSlGRItg\naE964d/5nfXT1Ea0trbyxhtvMjc3i2VZm6aGgiDA8zwePXqIbZdwHJcPP/wur776enVKaieJRIL3\n3nufjo52giBgfn6eUqm4qct6be1vBKLSu2Zj0bBt56tbKDTHaE1zkkBTI3sXBcsLuNjJ4e8XQRAw\nPv4A3/cZHBziP//n/w9FCYhEIuWCzkL53XqMVCqF53kUCgVs28E0jWpfF7M80mHbJSYnH7O8nMZ1\nPUZHT7O6uszamsf8/AIvvHCNmZlpBgYGmZ+fJ5fLsbAwz8LCPODT29tPOp1G1zV6enro6elleXmZ\nvr5+Hj16yIMH91laWqK7u4v29jYsK0Iul+PWrVvk8zn8mM/Nx5/QE+3F1V1W18Jwk01muXj6EktL\nizz//DWmph6ztpbFtm36e/sIAmjRW/hL3/+Xaevp4PadW+SLOZzApm2gA6PFoOgWKbh5il6x/HWB\nvFug6BYouIXq6Y5vk3fz5N2wUaaHx8rqCpoWFp66jktbrI0Pxr695/9GU/QNISdSDTpRPYqlGUT1\nGFEjXh0piuhRVEdFC1Q6E20kom0kNANtnwWvlmVh2w7ZbJZMJsOFCxcxDIOurk7u3h1jbW0VTdOJ\nRsPbfGzsLi++uFNzwvB+aZomXV2duK6LoihcuHCRVCpFR0fn/u6cxyzcQiEsGg6noZxq0XC4t95h\n1N/0jtT1SKCpmbDVuxQFi+Pjui63b3/Go0ePcBybiYlHaJqCrluk0ykGBgZZXV0lmw1HQwxDJ5vN\noigqLS3x6ue+vnNEo3FSqRSLi/OcOjVKEASsrCyzurpKV1cPbW3tDA+PlIN7jHw+zyeffEx//yCF\nQp6pqSkSiVY0TWVlJRyt6e/vZ3Z2mkgknM765je/wUcffZe+vn6WlhbKRbYK2WyGUlDCV3xWsivY\nrTZ5PYdTcmltacUtunz5T30Fq2QSi8VwHIeenj503Sz3J/EZHh6it7cPS4sy0DbAwJsDeJ5XDSEH\nul19l6JbpOiFQafgFklfSTPx8CFFr0hrbwItpoXhqByMil4Ylgrl7wtuAS9wyTlZck5223WE7fw3\n7/FmL9m0KOFtuJbPoPZp6KaOqZlEytNhMT1WDkkxYhumyqJ6lOTjJHEjjqVZWLrFwo15rj1/nY6+\nLrpTPczMTNPW1kprayu+75PJrO55O5imRSwWIx5vKR9z0BCriSpbKISroJqnd00zljdIoKkRwzBl\nykkcq6mpSSwrgqIopNNpCoVCeVQmT09PL8nkUrl7r0+hUERVVbq6ulhdXWVxcZGenh4KhRJtbe1c\nuXIFXdd577130HWN2dlZ4vE4jmPjui6qqtHV1cXNm5/iOA5TU5NkMhkePnxIPN6Cqirl6Yg4oFAs\nFkkmk5RKRVZXV5ienmJ8/EF5L6GAUqlEEAQsZZbCEQgdFE2hs7uTuZU5klYSVCi5RUbPnObLr34f\nk5MTLCwssrqa4erVqwRBQDqdprOzk0KhiOs6+P76jtBPE2YAdFWnxWyhhfVdqumAN0ffPNDlOJ6z\nIegUwvDjFSk4eYpujoJXpOjaFL0CmVyGTH4VPWJQ8kskIq2ksmnoAtuzsT2bTGnvAOLMOMSs9emg\nQqGAngyf8n3Ph8WA7kI3phHhfNt5Pv/CF/a8vEgkQm9vH4uLCyiKiq7rXL58+kC3wUkJi4atI+td\nI0uk65MEmhoJi4JlhEYcD9/3SafDwllN0yiVbAzDIJvNoWkamqaiaTo9PR2YpsHycppIJEqpVApr\nUxSFSCSK6zp0dHSysrKC53kkEm2YpsGZM2eYn18gHm+lvb2dixefo7W1lfHx8fIS6zXy+TyRSATT\nNJmYmGZ4+BSGYeB5PrGYAYQ9atLpZZLJZHlUQq2OnKQzaQr5Au1t7diBTRAEaJ6G53vYXTZ+zCcd\nSxNMKSxnlrlw4SKg0tnZydWrz7O2tobruty5cxsAy4qwsLDAuXObty+xbZvp6WlUVeHUqZGnDjoH\nZWgGhmbQarZWT8tm17j18BZaSaMv3seLL76Mrutks2tMWBO0tiaAANctoesGFy48h+2FoSfvrE+P\nVQJSvjpKlGfSmUTVFEquje2XWFZXMCJ6GJyUAqXBEksrSTRUnJLNT43+hW3HXCgUmJubwfMcRkZO\nMzp6moGBQVzXJRqNNtz0RqVo2PfDaahnq3dNQD1NgZ0ECTQ1Ei7blq0PRO15nsdnn93EcWwWFhYo\nFoucPXuW9957l/b2duLxONnsGvF4nGIxz+pqCV3Xy6MXCr7vE4lE8X2f7u5ubt68wdWr1+joaKO/\nf4D79+/h+z49Pb185St/Es/zGBu7y3vvvcvCwgKRiEkmkyGZTNLTEy6PNgyDpaVF8vk8hmGwthYu\nA3ccl4GB/nJzNoMgcCkUCqSXlyn6BRLdCVaXV7FMCythUSgViA3GcFWXWWMWX/dZOL3A7MI0MSuC\nogRcvnwFCAthSyW7WvRqGB73749x+fLl6maYtm3zne98gKZp1c0y33jjzRNbAXPr1q1qLxvbLnH7\n9m2uXbtGPN6CooT/G1UNt504f/4CiqJg6eEUUpu1dxdk+6zNvXtj1U1GL1y4WF3pFAQBRa/I0soS\n/+Bb/wtJI8myu8wA680O8/k8t259RjQawbaL3Lz5Ka+88vqmYvDjFBzRHIqiKGiagaoepndN/dXQ\nCAk0NSNbH4ijVigUmJp6jO8HJBJtDA4OAuFmkpFIhGg0imEYLC4uksms8sorr3Hz5qdEoxEGB4fI\n5/PMzs5iWREymbB5XThKU6StrY14PM7S0hL9/f0kEgkmJ6fQdZ1EIkGpFIagUqnE+Pg4Y2N3WV1d\nQdMUZmZmicVitLS0kM3m8DyfV155hRs3Pi43xoug6xqxWIznnrvKqVOnSKWSpNNp0ukUmUwJz3UZ\nHB4kVUyTi+ZIZ9PEo3GUhIKRMPBdH6fbAQ2eW3yOv/STf4VCocCNGx9v2uxybm6GlpaW6ovS7OzM\nphfCmZnpanip7Es1NzfH0NDQMf4n15VKRUzTqh6PbRerX1++fIXFxUU8z+Hs2bO0tLTudVHbmKa5\na3dgRVGI6lFGukf4wrkv8Pb0H/Pu7Dv82MUfr55nbi78vwaBj6qq+L7H8vIynZ1PXwQ8OztbHQVs\nbT3Y3wOUA7uNoqj09fXT1tb21Meyc+8aF10Pp6YabfQpCGQKTAJNjei6vkugebpGWaK5BUHAvXt3\nicXiaBosL6fQdY3e3j6CIKg++ba2JlDVMDy0tbVx4cJ5JiYes7a2xtLSYjmUFMujNUVyuSyRSISB\ngUFSqRSmafLaa69X90MqFkuoqkZnZxdtbW3Mz89h2yXS6TTRaJRcLoeu62iaiuep1dV9Dx8+pKOj\nk46ODgwjfDev6zrPPXeZM2fO8PWv/0euXLkSjs6k0zx4cJ94IoZ7yiM7u0bGy9A63IoaVfEDH21O\nI7oaxdZtXu55FVVVee+993jw4B4QYBgGL7/8Cv39/SwtLaHrOkEQEAQKS0tLfP3rvwME1Wku3/eI\nRMKgl8vl+O53v4PrerS1JTh79lx1BEJRFFzXZXw8bCrY2Rl2Tj6qPaJisTiuG+4Y7fs+LS3rdTqq\nqnLq1AjgY9uFXS7h8D43FAaa92be4Ucu/CiqUgl86qYw6PsBmvb0I1n3748BCoahMzk5wdDQMO3t\nHfv+/VQqxcrKCm1t4e88fjzBwMAApVKJRKKNRCLxVMe1tXdNOGrjNOA0lEw5SaCpEUVRGi7hi/pV\nKBQ2vfsyTYtMZo3e3j56e3sZGxtD0xQymTUWF5e4cuUymqaRSqVIJhf55JNPGB09zdLSIisrq7S1\ntdLS0sqlS8/h++ELfWurS2trjLW1LK2tCQzDpLOzs9pwzbbtckGlDwS0t7eTSqXLIyQKg4NDmKbB\n0lKK/v4BpqfDPZYMw0DTDM6dO1+tZ+np6WFycpJUKsXCwny4ZDxXZHViBVqBfiisFAjyAYqv4Gou\nbXobQT7g+VMvMD4+Ti63xrlz5ygUCpRKRVzX5cqV5/n00xtks+HO4C+//DLf+MYfVkcDxscfYZoW\n3d3d3L9/n48++pDFxQUSiQSdnd0MDAzwB3/wB0QiJvF4Cz09vViWxfj4OIahMzc3y8rKCtevXz/w\niMlOrl17kTt3bmHbRdra2rl06fKhL/OgLnZcpCfWw1J+ibupO1zpvgrAyMgIn3zyMaqq4jg20WiM\ntranC3KuG04tVkJHPB4nmVw6UKDJ5bLVKbPw+xzj4w8YGBhgZmaaYrGb3t7epzq+nXvXFBqwd836\nccoqJ3Gk9prz3fiuunk1+9+/f2HH143vln0ikXAUIRaLMzAwwI0bHxONxujp6WFiYoKBgUFu3bpF\nJpPhzJkzZLM5TNMkGo1QKBTo7u5menqKkZFR+vuH6OkpVl94bNtmcHAI13VwHJtcLsfU1DQXL16g\nVCoRj7ewuLhIR0cHMzPTOI5DPp9DUVR+5Ed+lExmjTt3btPa2ko0GqVQKLK2liGfzxOLxXj11dcp\nFm0eP35MNBoJuxkXchTtIjE1hoaGrds4aw5aTiNoCdDSGt1eNy9evEY2m6VUKpFOJwmCcGTKdT1e\nfTUcXVpeXiYSiRCPx5mZmQbCx5yu67S1teG6HvF4nE8/vYGmaeTzeZLJFMvLaWKxOJnMKpqm4Xku\npVKJ06fPsLy8XJ5KthkcHNw10JRKJRRF2VediWmaXLt2HXDZumz7uCiKwucGv8BvP/gt3p15pxpo\ndF3npZdeYWFhniBw6e3tP9R1ZDIZbtz4mLa2dl588UXgYKM9hmGSy2UxzbD53/LyMufOhVtnxGLR\n8lYMTxdo1o9zvXdNZaRmY9Fw5f8jPV/qkwQaIRpAuLv1MDMz0/h+QCwWY2RktPrz1dUMZ8+Gox+e\n55FKJZmYeFjeWdvHsqJEIhEePXpELBYFFFRVJZtdQ1GoXlapVOLBg/tks2uYpkEi0UY0GuX27Vtc\nuXIFRQHHcTl9+gyf//z38OGHH+A4Drqus7aWIR6PsbKyQl9fP6dPnyGTWSWXK9DT00VrawvJZJKR\nkRF0Xeett95ievoxS0tJUqklSl5Yp6N7Op1+J4ZjYng6VouFqqoorkqH1Y5hmAwNDfNf/ssf0N0d\n1nPMzEzz8suvVmtPINxt/Pd///f45JOPaW/v4OzZc3ieTyKRIJ8vsLQUFlBvbICZTqeqnY1VVaVQ\nCKflJienGBoaIpFoY2zsLiMjp6u3d0UQBHz22acsL6+gKNDb28elS8/V8m5xZD439Hl++8Fv8dHC\nhxTcAlE9HAlRVZXW1hYePnxAKrVMZ2f3U9Ubzc7O8u/+3b/FsqJ4nscnn3zMz//8/3CgyxgY6Gd8\n/CGZTHifbWlp3dLZ+OiGJHbqXaOqGrpu1eUWCkdVMN3oJNDUkKR3cZR6enrp6endcXSv8m0yuUQy\nmcRxHNraEhSLJa5du86nn97Askxc16NQyDM6OkqpZNPR0Uk6vczs7AwDA4Pl3bRb6esL342vra1i\n2yXy+RzFYp779x+Qz+d49OgR0WiUeDxOd3cPHR3tRKNhgfE777zDyMgIU1NTXLhwHsuyCAJIJpN0\ndKxPWWiaxvd93/fzb/7N/0MqlWa5lKZQLKBHdb4w+BZ9fX3Vtvrz8/MUiwUUReHWrZtMTDzk+vVr\nzM3N4/sBL730Mrq++YXmm9/8IxKJVq5efYHHjye4d+8eL730Mvl8noWFeR4/fkyhUCAajWLbdnXj\nzPn5BSIRC8dx0TS1Os1RLBbQdZ3Tp0+ztpbZ9v+ZmZkmny9Ujzlc9ZU+VBFtLeRyOWZmpggCGBgY\nJJFI0Bvr5ULHRe4v3+Oj+Q/5wvD3AOEL5d27Y1iWHi6tTyfRNI3+/oON1nz96/+Rnp6+ch8kj+Xl\nVQqFwqaaof04e/YskUgcgJmZGbLZDJFIhFwuT3d394Eu60nWe9cYuO76Fgq6btZtgGj21xwJNDVU\nr3f6+iO300Hs9KQ1NDTInTt3q4W9bW3t9Pb2YtsOq6vLDA8Pk8/n+dKXvshHH30MKLS2tjA/v8DF\ni5doa2tneXmZ0dHTqOr65TuOw9jYGKVSiY8++hBNU0ml0gwPD2HbNl1d3Tx8OM4rr7yC57ksLCxy\n5sxZuru78TyXycmpcqO7PENDw9umaQYGBnj11dfJ53OkJ1MMjAzgKz6B4lV3gHYch1gsSiKRQNNU\nenp6SafTrK1lef75F1AUpXyeFh4/fszq6gqWFanu/xReTkA2m2VhYYFYLMr16y/xzW/+EaqqYts2\nqho2ivM8F00zysvK9fI0lYFh6EQiUYaHT9HT04NlbZ9Osm1nU08bwwgvp56USqXyUuwwpI2N3eXK\nlavE43E+P/QF7i/f452Zb1UDzcZNRyGs3Vpby2wKNK7r4jgOkUhk1xfUSoPDyjRcqVQ69CrQoaEh\nVlZiZLNZhoaGD7XiaS+qqmIYkXLvGhvXrf+Gqc360iOBpqaaOy2L4xOPt3LhwgVWVlZob2+vvvO9\ndOk5zp07D4RPzKurqziORyq1RCqV4vnnXyCRSNDS0kIQBHR0dJT3YQotLi5gWRHy+TyJRBuFQh5F\ngUwmg2EYlEpFOjo6yOdzFApF4vGW8pREuCS8r6+Pjo4OFEWhr6+fTz75hBdffHHTC19LS4zXXnsN\n1VCYzk6zWlglfWaFglZkoHWAx48nWFpKkkgk6OoKRzsqy9TX1jKYpkVvbw/Z7BozMzPoul4tGO3o\n6GB2dg4I39G7roNpWuUNL4uYplkNLqqq4rounZ0JSqUimqahqhqWZaKqKpqm0dnZSRAEfM/3fO+2\n/0Fvb091M0gA13WOfNTgsJLJxU3TNKZp8vbb36Szs4vnLlzGUA3G0ndJ5pN0x7oxTXPLSie/uswc\nYG5ujsXFherqp4sXn9uxduhP/snv59d//ddoaWnBcWz6+gaqbQf2a6dlye3tHQcqLH5am3vXhNNQ\nALZdxDDMZ3oLhUaiffWrX/3qbj/M5+s/idazf/tv/zU/8RM/ueXUSit2temHB0OVPWya/Qnh8LeD\nZVlksxlmZ2e4c+c2Dx48wLIsFCWsJ6nstj06Osrq6gqu6xEEQXUDyvn5OZ5//gUsK0I6ncK2bfL5\ncGXK6uoKpmmysLCIYejouo5hmOUGdjo/9VN/kbfe+l7u3r1NsVikUCgSjUbwPI/Ozk66urrp6Oig\nVCrS3t6+6UUxmUwSi8VQgLPD51kzs5SiBe4V7vHGS2/SaXTS1hZ2LLZtB9u2icXidHd388Ybb3Lq\n1CkKhSL/6T/9Drdu3WJ+fp67d2+zsrJCsVgklUqSSiWrowRh4XORfD6H67pEIpFqmLEsC9MMVziN\njo5iGDr9/QO89NLL/LW/9jNcv36dN9/8HIaxfeds07Rob2+nUChgWSaXLl3ec/fq/fz/wwaAPr7v\nVus6DsO2HZaX02iahu/7vPPO2+h62HPl7q3bWN0RFksLtJgtXOq8hKqqqCosLS3iOC6GYXLhwoVq\n079Hj8bL3aTDZnsrKys7TrF1dXVx/vx5CoU8Z8+e46d/+i8fuBbFdR0UBXT9+Jv6VYTBRq+O0gSB\nXw434f/u5J7TAzzPQVG06sabz+ooTTxu7fozGaGpIQksopbC3jRj5cJelXg8RiaTYWLiEV1dXXR1\ndXP//j0URWFgYICJiYfcvPkJra2tBAF0d3fx2WefYVkWw8PDKIrKO++8zZe//JXqyIJt23z88Yek\n02kcx8ayDCKRBKlUEsuK0Nrawvd//w/yrW+9TTabRVXDFUNB4NPfP8CXvvR9LC0tMjc3RzK5hKqq\nvPDCtU1/x4ULF7lz5xarq6usrKxyrf8FJpliouMR/9edX+Pq2vN8fuTzLC5qFArzrK6ucuHCRc6c\nOYumaRSLRd5771vcvn2r2ijPsiIkEq3oukYi0YZlWczMhE32XNfFdR0Mw0DX9WofmHg8jq7r9PR0\n09XVw5UrVxgaGqKtrR3P8xgdHd32P9gqkUhw5crVo/9nP8H0/Xuk3v5jtGwOryVO11vfy/CFi9vO\n193dTSqVZHk5zeLiYnklV7jjeldXN/aKCyq8O/sOP3Tuh1EUhd7eXjo62tA0s9pTCMLi860BbK9p\n9jNnznLmzNlD/JUBB1kZVdnbKwgCurq6dn0+dhwHz/MOED6h0k9M180G713zbJFAU0M7P7ilsZ44\nGlNTU9h2iWg0xuLiIlNTk+TzBUzTwvcDWlpaWFlZZmVlGVVVGB9/gK7rTEw8Ynl5ma6uLhzHrS4z\nHgLHPHAAACAASURBVBgYIJfLbdqV2rZtTNNkePgUxWKRSCRGa2ucN9/8PJZl4HkBExMPyeVyLC0t\nlkc4DM6de45MJsPg4CDf/va7xGIxfN/DMIzqSqeKsLi4hcuXL+P74Loeo/oZXht5nd+8/+/5YPF9\nSkqRL576Er29vUSjMa5cuVL9/Ww2y/3743R19TA+/gBN05ibmyOXy/H48WNs2y5v0lkkGo1Wp1Eq\nU02KolAqhZtyDg0N8iM/8mN4nl/dLgE4phHEoPycUfmg/K579zdGpVKJG7/yNS7dusmlDS+kM29/\nk/evvsD1//ZvV6fAKi5deo5SqcT777/HvXtjaJpOOp2q7qDe5rWzmFtgfOUB5zsuVH9v63EYhoGq\natXbMGwF0HP4m+EIBEHAnTt30LRw1GR+fo4rV65uGxWanHzM6upqeSRK5bnnLu/7jejm3jU2vu+e\nWO8a2SwzJIGmhhRFkX4z4lBs2y6vttg+xVEqlarDy7lclmKxSCazyspKmmRyEc/zmJycJJtd486d\nW4yMjGJZFnNzc+UVG3Z5hCIgCMJ3qqYZLktdWlrkj/7oj5iamkTXNRRF5cUXr3P27Fmmp6fIZFbp\n6OhgcHCI7353Bk3TcBynvJ/SevO9QqHAwMAgyeQSmqaVe7ws8/77sywvL9PW1sbQULgtQ2UTTcMw\nKRQKfGnoy/REe/jlpX/CO99+h8++8xl/6qUf5Mf/7H+16XZoa2vD9z10PdwB/OHDFVpawp3Bbduu\nBjZV1YjH49Xj03WdYrGIYRjE43HOnTvL3/t7X6W1tZVkMsm9e2Ooatgt98IOox1Paz20wMbwEnI3\nndfzbPaqxbvxK1/ji7dvbRsVGFI1Bm7f4hu/8jXe+O+2L48OpyezWFaUcNPQGOPj4/zwD/9ZlmYX\n+L1Hv8s7M+9sCjQ7uXz5MpOTk/i+V16FVx+BJuwWrVUfN5qmMTs7w/Dwqep5stks2WyWRCIsVPc8\nj5mZKYaHR3a8zM3WR4vC3jWRHXrXmKjqcW2hIHtLgQSamjJNo/wisdOcr7SpFnsbG7tLLpcDoK2t\nfduu0W1trXz66ae4rsvi4iK5XLa6omdpaak83aSSzxcoFIo8eHCfV199vVw/EW6I2N6uMTs7W50+\nuHLlKsvLy9y6dYvZ2WkSiVay2TV0XWV8/D6vvPIag4ODXL36Ag8fPii/4w1wHJv+/gGSySSu61As\nFuju7qW1tZVUKl2dwsrlsnz9699B18MXmrBgONydPhwZCl8kLMtC13WutF/l1dzL/P/svXdwJHl+\n5fdJW94XqgAUCih4tO+eHtOzM7Oz5NIsvdXyGLE6iuSJEeRyj6TEu9AdT9RfFxeiLoLLW1InhWhC\nNMelaHa5vBVJrd/h+Jm2gzbwHiiU9y6N/shCAmjfM42Znhm8iA4U0KiqzKxE/l5+v+/73iX3JbS2\nzt+/9v+iulV+/Pt3M4cUReE7v/O7+PKX/w6fz4ckSciylSguitbYtaUVsrQ3sViMdDpNuVzG6/Vh\nGAaSJDE0NGw7CkejUQKBANVqFa/Xe1tCeTfsVmf3V1zuXZ0V7H8WCQNdt0jOzgTWzgK5NjvD1PRb\nd9SiiILA5PQV1uZmGRi7lZiIosjp06dYWVlB0zpMTEzi9/v5iPAs/7D493z18ldorTSpd+q4RAfP\nH/kOpsaO7nsNSZIYHh6+n0PyrkLX9X3HxSKmxr7fsZLmdz9Xq/22/3ceBDsap50IhU6nhShqj6x3\nzQcRh6LgA8QXv/g3fOIT33cTodm5uB2Kgi0cioIt7D8Om5ub1Ot1nE4nqqrSbDZQFGWf9Xu1WiWf\nz9pkJJ3eIhQKIUkyQ0ODXcM4gXA4TLvdtlsPnU4Hl8uF2+1GURR6e/v4xCe+3x5b3slr2slEkiQF\nSZKo1Wp4PF6SySHi8TiRSJROp0MkEiGfzyPLMo1Gg6mpKfr6+hkfH+/+rE6j0ewa/uXIZrOWUZ4g\n0mw2CASCJJODiKJAqWSldns8bmZnZ1lZWaaYLRBxRKjpVQxZZ3ptmtMTZwj5d1tCAwMDjI2N4XZ7\n6OmxxtXz+dy+ttJOtSUWsyavKpUywWComzelMDV1jNOnT9uvKUkSLpdr3yj2XmxtbTIzM4vDoXb1\nF0b3n77n8c0VGLAIi7jnq8jODY4gyLa41Lrzd3QzqazXMnQNsd5AzGRY/tM/4ejcHEKxiJjLIWxv\nIxQLmMGQ3XvwCyIzpknvmcdu2f5Go0E2m+36/XgIBIKkUikcOPjDL/8B1xtXyXvzlNUSq6zwwuIL\nzF+f4+zY48jyu38vrGntbpvn3uTS7XazsbGGqlqtn0qlzNDQ8L7ttqqVu1NptVqNWCx+X1qaO23L\nTiVQFOWumFu3J6IOUjRsJcxriOKhKPgQBwRrKuOQFB7iwdHptPddfFXVasNY1RLFNhNLJHZL6KIo\nUS4X6evrxzRNGo0mXq+7O6kTZ2Njk1gszuBgEkGQ6HSsi/LJk6dJp9P2qHI+b+UzybJCpVKl2axT\nr9dJJlMMDw+jaR1yuRyRSIT+/n76+/sZGkpx5cplxscnuu0lkUajQSgUxuVyEY9blvRLS4vIslW5\n1DQdURRsPc/gYALDuEoikWB+fgFFUSgUCqyvb9DX18tU+AhXM1epSFX+78t/xG/0/iaKtLugJJOD\nJJODLC8vsba2isvlolwu28fRqkiF+OQn/xkLC4vd1PESYPnhpFK3F/3ertry5ptvcvHiBRwOB2++\n+Sof/ehHmZjY25YS9nwV7O9vt6DZr2+aCJUyQj5HO5PFVa2g1GoouSxmLoNYKCIUCwhtK23aMTeH\nWCzufzFBAE2DPTdRUq1+2/06ceIkbreHdHqDaLSHU6csMve5L/0OZtJEqIpk61lCDos4SgGJq+Y0\n/+lvP8unnvtvAejt7XtXbsweNGpAkiSOHj3eTVuHyckjt2iJJEliYmLKFovfr5fN/fiL3c67Rtc7\ndpL3w8ah55mFQ0JzgFAUK/flEIe4Gyyt1f6fRSJRZmZu4PFYrqiVSmVfRSYUCqOqKjMz88iyQigU\nJpVK4XK52Nrawufz8vzzH+ONN16j2WwB0N/fx/HjJ6hUyqyurqIoMkeOHCMajfLWW1cIh8O2OHJt\nbQVFUVleXkIUJXp6evB6PbzwwjdJpUa7pnoR2u02165NMz8/j8Ph6Frl+ygUCni9XtbWVkkmB7sL\nizUVoqqWmLRWq1IqVTl7Nszc3BzxeJRMJkOnY00gCYKAx+NmbGyU2dkZ/P4gw4FhNI/GOuv8l+t/\nyj8/+t/dssgNDaX45Cd/Gp/Py8svv0yj0cA0Tfr6EvzGb/w7YrEYH/nIM/zZn5msra2hKDKRSIxz\n5562KyEWblddsXDlyuWuI7CAx+Pl4sWLTEwc4Y55TLqOUC4jFvKIxSJCIY9YKCIWCwiFAmIhh1gs\nUmy1uViv0xEEVNPkjNdLUJYxDB1BFBEQ0F0u9GCQdr2GIcsWeXE4QFEw3e59ZAZA97jveO6Njo7a\nrcxSqcTXv/VVXl14GWfQBQqU2kU6ehtJ2K1Svbb0CpPuSfri/WxsrHPmzNlHsqUiy/K+eJDbweFw\nMDLy9iav7kWubudd0+k00XX5wLxrPuxV/0NCc4BQVQft9jtzw/wg43YL+QcZ6fQW6fQ2APF4zI4X\nuB0skeoY6fQWgiDgdrttvxCg66tioqoOms0m8/PzPP74EwwMDDA1ZSU2V6sVdF2nWq0iCCYej49y\nuYRpmgwMDGAYBltbW6yvr5HJbHdbNBJOp4ve3j4ymQxjY+NIkpX5lM1mcLvdrK+vsr2dZmRklJmZ\nG6ytrVMo5AmFwhQKBaampjAMA9OERqNOKjVMJBIBoF6v88Ybb7C2toKua5gmbG6uUywWeO21lwmF\nwhSLRbLZLNFojEQiwdTUUYaHR2g06rhcHn5w4of4nQu/w4tvvYBaVJlyTyHLFgHq708QDoftKShR\nlMhmsySTQwwMJOjp6bFJ4qc+9aluSnOD4eHh7qKs3+bT2K2w7Dy2TN66i7yuQ72GPDdvExaxkEfo\nEhaxWEQoFe/cAzBhp+V43QSprx/R48H0erni9/PEY4/R9nkQozHEaAzT6UTT2jhvXGPlt36LhCR3\nyc6tWDd0Ih99/o7nmb0JpsmVK1eYXptG9akYbQNf00vFVyXXzBFzWRW2VqGFO+Dm2uZVBvqTGIbB\nxsbafQppP5zYjVDYSfLWaLW07oSUciAk5MN0Xd2LQ0JzgDhsOR1iB+Vymc3NDZxOSwOzubmBy+XG\n7/ff8Tl+v9/+/4WFeXR9d7G19CyefaRoRzy6A6/Xx6lTp9jeziAIAoODg1y48CYOh6UREEWRlZU5\nxsYmSCQSzM3NsbKyTCwWQ9c1VNVBLpfD6/V2U6fbFAoFTNMkGAzwjW98jVKphKqqiKLUTbW2RqCX\nl1fIZrPUalXq9TrhcITBwSG2t7dIpzfQNA2v12NXlKwx6QDr6+tEoz14vV5KpQKhUBBJEpiaOoog\nCJZnTB2+1/e9vNR5kTeX3sAMwKnhU7jdbtbWVgkEAoiiSE9PlHPnzu0R9Jpsba0zNjZmH6NEYset\n9j5aRKaJuLmJPD/HkcUlFrY2cek69UqFs7KM943X73wCCAKmP4ARDGKEw5jBIEYwZH0fCmEEfRjB\nEKULl+3RW0EQ0CWRzlPn0DpNZFlFlFUEQFEcjBw9wStHj9J77RoiJuJNGg3DNLlx7ARP3UYQfDM6\nHStVvak3QQJREokIUSpUMfaIaU3TBAGaesveRsO4/9Uzl8tRrVZwudzvOBn7/QZRlPYleVtVG+3Q\nu+Yh4pDQHCBu33L6cJcEP6wolYo2mQFwOl2USsW7Epq9iESiLC0t4HZ7yOdzZLM5AHw+6/l3sgfw\nen378pNundaxyt4ul5WVFI3GGBhI2tqDUChEtVql09Eol0t4PB6CQUtEe+nSRUKhMG63m0AggCAI\n1OsNpqencTqdXXfiOufPn+f06TMsLi6ytrZGqVTC5/OjaVpX8GoJGgVBwOm0nHrHuotwT08PLpfb\n3jdZltnc3ORE/0k0tcPLpZdZaMwSygSYGppEFE3abUtM7XDIXQM96zK3M6oNVgTEtWvXusTKx8mT\np24V/7ZaSEtLyAvzyPNzSAvzCHVLj/IJ4HKtxrbWIelyMZ5IoIfCFkEJhjDDoS5hCWGEQpiBANxB\nSGvpHzRAIBQKksvlbMO7cDjCnUZyRVHisV/9db75n36bqbeu0C+alvBUFNkwdG50fWjuB5bJoIJT\nssiuoRt4vB5O95xGFmXMrsuyM+ykvlDD4bC8fDodjURi4L7eY319nXLZytnK5bI0m417toQ+aNgR\nEls2Bw/Tu+ZwbBsOCc2B4rBCc7/44NdHfT4/+XzOro60Wk16e/vu+bxMJkO9Xqe/vx9Jkrl48Tyi\nKHYTpBdZXV0lHo+j67qd2XQ3jI1NMDNzg06ng8OhcvLkSYrFIq1WG0mSGB0dplqt4/P5yWS2SaVS\nqKqDVqvNwsI8qmpdjKvVCqZp4vf7abVaFAoFotEoTz/9DNeuTVOr1chmt2k0GqTT27hcLnTdoFqt\ndieHLK1OpVK1SUy73SYa7bE9cpxOJ+VyhWw2y/DwME6nJepUVYl2u8HZ2GNsZNbZym3xrfVvMtQ/\niGEY3WMs4PMFiMV62d7eRhAEXC43Q0OjCILI9PRVJElCUVSazSYzMzc42p+wiMvcHPLCPNLKChj7\nW1BmMIQ2Ooo2OsZIKkUqEsX0+ag8FA2JwOTkFEtLC1SrdbxeNxMTUxiGdsdnOJ1OPvKv/w0rM9d5\n8ZtfR6zV0N0eej72nTw1OXX/7ywInDp1imxhm0tXLyBFJNxxT7ctbOwul6KAI+zg6dQzRCJRBgYG\n7jgFdjMsUm+d/w6Hg1Lp1sTyO+NRWrDf+bY8bO+aD2uL6WYcEpoDhLUQtO7wv4dn4IcJwWCQej1G\nOr3F5mYar9fddWcN3PHi9dJL/8T6+gZOp8KXv/x3DA4O0Wg0MU2DhYV5xscnKBQK9PX1EwwG70uY\n6fF4OHPTCG86vUWhUKBWq5JMDtLpdJifn+MjH3kGUbTuJI8fP8HMzBCXLl1AlmVE0TKN7O2NUy5X\naLVa9PcnkGWJXC7L2toqlUqlSxrk7oRWlbW1VVqtDqZpEA6HuqPilpC3r6+XVqtFq9XB7/dSrVbp\n64tTq9WYnr7C6Ohod7x6inQ6TbVa5aODz/OnuT+lSJG/uP6X/I/f+a8Qxd0q1OTkEQYHU+i6hsfj\ntTOIOp02cqGGsLGOsr2NuLGO37jJg0QQ0JNJ9BGLwGijY5hdLdA7ga7rlEolHA4rM+pmpFIj3be/\ng8D4NugfGUOTFXS9g8vlJBqNdoMTHff9Gn6/nx/74Z9gvjXPVff07SeyDJMT6imef+Zj9/Wa+7H/\n9T7k+lXg4XvXfNiP6SGhOUBYLadDUfAhLPT3JyiXy4yOjth2+3Nzc4yPW+0VXddYXV1B13VUVWV9\nfd223zdNg62tDfx+P7KssLW1yejoGB6P57ZhgA+CeLyXeLyXZDLJ2toapmmJjZeWljBNOHbsGD6f\n3/Zo2dzcxDThiSceR5IkisW3qFQqrK2t4HA48Hg8NJtNSqUStVoNt9tNb28f+XyO3t4+KpUy1WqN\nWq3Gs88+y4kTJ6jValQqFaampkgmk8zNzXWnk6BUKiMIItVqg1OnJnA6vaRSPjqdDoZh8O8m/hf+\nw2v/nnRriy8s//Utk08ulwtaLeSZG1b1ZX4O/eWXmG23MAUBp2HwrNsDkQja8Aja2Bj66BhaapjV\nbJZMZhtRFBlzqNxKPx4MzWaT5eUlO5ZCVYvddPK3D9M0uXHjOn6/H1VVqdWqCEKeSCRMq6XbgtT7\nxWd++Ff43Jd+h2n9CmJAsm+99JLBCfkEn/nh+2tj3Yze3l57nL7ZbBKLxd/W67zXeNgxAzsRCtY0\nVKtboaw/YBvqUapgvXc4JDQHiMOW0yFuRqvVss3xJEmi1WoC1qJ09epVHA5LL7K0tNj1cQnZ/w9W\n66pUKqLrhh3SCJZJ2uzsDJ1Ou5uIPLHPhO9+4PF4mZycYnZ2lt7euH0hLRaL9ij12bNnASgUCqyt\nrbKysgKIJJOD1GpVXn/9VdbXN7ruxA2cTlfXD6aIqiokEv0Ui24Mw7BzoxYWFhkdHSESidBoNAEZ\nRXEyMzPXFSEbuN1uQqEgi4uLnDhxkna7zfa2NTHW29vLp0//Mv/bG/8rL2++RJ+nn+8NPmW1j+bn\nkOfmkNZWoVuBaRsGbtPE6/OjRcKovX20nn6G0keegT13xen0JktLi2haB103uHbtGlNTU/j9fkZG\nRt+W3mHH/BAs3UqpVELTtDvJa4B7txOsCAzJ3h6Px0ur1baDE3dHhe9erVlcXCCbzTIwkOTX/5t/\nzdzSLF+98BU2Mxs4JQc/9vxP3OIU/CAIhy29ValUIpEY6I693x8+DFlFu941Op2O1YYyDO3AvGs+\niDg8SgcIVXUcVmgOsQ836w12ysrtdhtN03A6rSt2LBbnxo0ZNM3KKNrrAOp2e+npiXPmzGO2yHd+\nfh5Zlm0Tufn5OY4fP/G2tvHmQERL/Nmx38uacgqiqgqbm2tEo9ZCdeXKRTIZa7S73W6hqioOh4ph\nGF3DMgFVdRCP93bTuzv2Pl2+fIUzZ06z4+PS6Wi4XG6KxYJtSe90uqhUrPbW0tICwWAI0zSZm51h\n0uXm18unufjS54n88W9iSIO4HcHdnRIE9OQg+tgY+d4+6qUivbG4/Xk0fd59ZAYgn8/bsQDpdBpJ\nEkmlUoA1dXY/mqV7QRTFronhvXUod1rMrbbdrtbHNE1EUbLv+judpj0qbE3U3KrReO21VykU8ni9\nXs6ff4Px8Un6+vo4Fj3OyfhJdL1DKVfCHL1VfF6tVllZWcYwDJxOJ6OjY/bvNBqNrvg9gNvtxul0\nPmCq9buLVqvFysqSHQ2SSg3fhgQeXDXE8q6x2lD7vWukLiF99Px+HiUcEpoDhCV0vJOG5hAfVJRK\nRRRFve0d6PBwirm5OduJd6fdJEnSPrdPQRB47rmPks9n0TSdH/qhHwYE8vkcTqeToaHUvoklTduf\nGfZOiHQk0kM+X+i+nomqKjidKqapYRg68/PzaJqGJEnE4/HuIrBsaz5M06RYLBIIBPD7/YRCYQzD\n5OMf/27m5m5Qr9ep12tMTh6hWMxjmtb+b21tcezYScAiVanUEE6nA13XaTQa9nHKbawTqVYRZ2eR\nNjdxbW3SXF7ihKwQrTpZr+a44Vhi7MgP4jn6GPqY1T7C6aTVajFz/RqZzQ3yqysEAkE8Hjfh8K3T\nNoVCEdM0bMPATqdDu93G4/FQu4P77r0QDIbI5TJ4vT50XccwzK6D7Z2Fv/eCLMtEIlFyuWw33gEm\nJycBizBZo8L7NRo3L44bG+t2sGQwGGRhYb677yqaptlp2uVyiUAguO/9Fxfn7Uk6wzBYWlpieHiY\nTCZDOr2F0+nsRiz0PnB4ZSaTodVq4PV6cTpVDrqlsrAwb/sU6brO8vKyTWIfBvYm2d8Nt3rX6LRa\n9Tt61zyok/IHFYeE5gChKOqhsd6HCJqm8fd//1/RNB1N0xgcHOKpp84Bu2F5Ho+PU6fO3DJmLcsy\nvb29pNM7OUcCx44dR5b3T6okk0m2t9NsbGwQCARswzqHw4FhGDahuN+74Ftt/SEaDaFpg1y6dAmA\nsbExBMEiKV/5yleoVCqoqsrJk6cQBAm/P0i5fB0QSaVGuHLlMoVCgVKpRDgcRlFUBgaSnDp1ilOn\nTgHwN3/zV4BJNNpj/+6TTz5u64EkScE0TeLxXtJLCxhLiwhzs5zKZCmtr1GMRkhrOjrgMk3GAkE6\nR48RGBnly8YbfF2fIeSu82+e/Bg+dXdsfXV1FZ/PGtNeW1ulWq1w7NhxYrE4uVyOVqtFKBTC5XJ1\nP4801WoZMOnpiXUNA819oYYPgh2PnFKpiChK+zxx3gl6e3uJxWJomnZLGO5ejYZVrbEWxztVa3aw\nk321Fze3PgzD2OdDYxE/6yZue3vbJgcej4ft7e0HIjTLy8voupUAv7W1hdfrJh6/92TgO4Gm7RJL\nSZJoNpsP5XUt88s5+3gmk8lbiOHtcOhd82A4JDQHCEVRDqMPPkR47bVXaTbbNBp1BAFef/1VJEmk\nXq/jcrkQBJGhoRQ9PT23XUT6+/uJxxN0Oh2cTqf9O9lstlvSt+4YFUXB4/ESDAZoNpskEgnGxye4\ndu2afVc9tsdMbS9pWVxcpFQqdEe0R/ZVkXa0GLIsk8vluq0DEV3XWFlZY2FhEcOAeLyPTqfDlStX\nGBkZwzQrpNNbRKM9zM7OdGMVFNxuN7VajVKpxL/4F7+wb3sGBgaYm5vrTktZWUqDg4NgGEgba0yt\nrrBw4U30zU2SpSIjCLi7d7ZOUeSbtQbhqUm0YIi0IOI7dw5Xykp9/hH9Webf/I8slRf5Py797/zq\nY//DnswnKwTS6XQyNjZOtVohFouxsrKMrms4HE5WVpbp708Qj/fS25vG4RhiZGSUxcUlHA5Lh7Kj\nXXo78Pl8dqq3dTzefsLzXlQqZQqFAoqi3lZovFutsRbHvdWa/v4ExWIBj8dDoVBgYmKK4eERtrcz\naJpV3YnH+/B6vbe85t5pHEvQvpOZtJ8MPeh+VqsVO1vJ7fZQLBYOnNDsrVpZrTvRfjw/P4emaRiG\nQU9PmGDw/sX4q6sr+zyn1tfX74vQWNu0410jd0e8d7xrZGT5/qfYPgw4JDQHCIfDSb1euemnhyff\nBxX1eo1Go4rD4aTVatNut3n99ddIJofQNI3e3j6WlhaJRqMIgkAmk2FzcwPTNOnpCdPX17dPBwPW\nHePi4jwul5vt7TTp9JZd3m+3WyiKis/n48KFN2m3rUDLU6dOs7W1Qb1uGaANDAwgCAIrKytkMlso\nioKmGUxPT/PEE09iGAZzc3OWM61uEAgE0TQTl0u285cajSb1eh2v19u90Avk83lyudfw+312hcMy\nhRPxePz2AlatVqnVqlSrFXvbHQ4nTz11jlqxgDOfR1pZofNbv4VvdQ1n9y75ZPcYmF4f+vAIzdEx\n9LExyvFe/Jcv0dQsrU+fz2e3pABUSeUXT32a//Dav2e+NLcv8ykQCJDJZHA6nd19U5ibm+WVV14m\nEglz+vRj+Hw+stkMw8MjnDx5kvX1dZxOF9FoDEVRGBwcfJfTpu+t2cjnc6yuWhNE9XqdarXC5G18\naHYWR0ujsdvKeOyxx1hZWSWXy3L27BP09VnE4emnn2Zzcx1JEojFbk8mhodHWFlZsdtzQ0MpwGpd\nlctlnE4nzWaTYPDewY93w9tduIvFAoZh3pe1QSqVsvdFlmVbJ7W6uoKqqrhcLgxD704g3v8I/81k\n7u2ESVptKCeStCMa1tB1SzR8GE5p4ZDQHCBUVaFUOqzQvJ+Rz+dpNptEo9FbSvk3o1qts7KySiBg\nueBqWgeXK4KiyFSrVQDbvr/dbrO8vITLZbWGNjc3cTqdhMP77eCbzQY7C1m1WkNVVTodDVG0Kj+m\naXDt2lsIgonDYVUhXnjhm0xMTKAoCo1GozsaPkGlUkVRrLvnRqPB4uICIHWzjEbs3v4O0Vpb05Fl\nGUmSui0tDV030LQOmUyWfD6P3+8nnU4TCAS7Y99WzpMkiciyg3q9Rjzeh8vlZmVlhZgi01cokrx4\nntzGOsFSmUqlgibAts/HOtDj8xE7egyt6/9i9PfvE+w6DQNZlvB0Qxc7HctjZnV1tTuyDD098Vsm\nn74n9b309MQAgUqljCRJaJrGyy//E61WB03r8JWv/CPf930/YE/VeDxeRkZGefPN11FVa+HIZNKc\nPfvEu0xq7o7t7Yw91SbLMtVqBcMw7riA70zU7LYyWgwM9JFKpfY9RxRFYrGeW2I19sLr9drZWXuR\nSAzgdOaoVqv09PQQjT6YfiYYDFGrWUaM1WrFbq8+CObmZgGQZYmtrU0mJ6fuqmG50750OpptMWLr\nsAAAIABJREFU7AjYmipZvvs1YQdOp8sW1pumabtXvx3stqGsypmm7dVpfrhvmB+dv8gPIO6uoTlk\n1BYEHtVjMT8/R61mkYh0eouJiUlbE3AzFhfnaTZrKIpKtVql2WyRSg3T0xOj0+nYEyqW0ZxCOp3e\nd4FUVZXV1VXAqtA0m9bItlVJMDBNHUEwcDodXf8VjU6nRTKZ4Nq1a91X2ZksaXaJi4AkSdTrdQRB\nRlVdNJttRFHstoWsKaRCIc/6+jqDg4M0m03S6S0URSWf30TTNGKxOBsb62iaRqVSwel0UqmUmJiY\nYGNjwyZnAN/1Xd/N5z//5+TzeQQEwoEA35NKUv/SFwnn82xurNOLwLAs06frrHY0lnqiOEdGEQb6\ncY2McT6Xp6+vH1EUSMZiqDctyqIocuTIMRYWFjAMnUgkitPpoFwu2yRna2uT8fEJfvbYz/N/Xv7P\nfGHur4l7ejnVc4qenh5by/G3f/sF3G4vnU4RwzCo1+tks1lS3fYVWIJZRbEWLusuWWVjY8Nqkb1H\nKBaLZDLbqKqDwcHBmwe0uuGZ906D3rXh3/U/uXNo4oMvlpFI5L6JyOzsKi+8kKNaFTHNNCdPugiF\nPCiKyuDgELJ8/0aDYFVmAJvo+f0KGxvrJBKDVCpQKAj7/pVKu4+bTfjUpzqcPm1VVhwOpTtevxuj\ncWuMyJ2RTA6ytrZKs9lCliVGR++dr3U37Oii9oqGAXS9jSBYf/s7aLfbpNObgCX4f5Bx+fcbDgnN\nAcLhcBxqaN6n6HQ6FIvFfZqBV155hYGBAWKxmO0lsoPz5y9gGJY2pFDI4/OZeDweUqkU6+vrOBwO\nZFm2tS2BQIDNzY2uJsMauw6Hw6TTr9ButxkdHeWtty7R39/P0FCSdDqN3+/HMAwikSj1ep2RkXE2\nNtKUy3VMU6dcLncXpQ6mCaJoXdR27rjHxsaYnr5CsVii3W4zMjKKYRjdWINZEokEhUK+m4PkwOMZ\nQdM0isViV4CokUgkyGbzyLKMYegEAn4kSbQurPUa0uYGv3buHNXZOQYKOeZdbsIbG1Q0jflmi6A/\nwMWeHtZEiVYkQllR8AUC9Pf3sd2o46pZ7SlJsoTRMzM3mJyc6hoOGng8Hvr7+wmFQrYnDsDy8hIO\nx+7dsqoq1Go1zsQe44dHf5QvzX+RP3zr/+JfPf4/MeDbzR7aGZcOBILU6zVarRapVGqf3kEUJQzD\nsO/sdzOh3hvkctmuZ5GKrusUiwVGR8eYnZ3B4XDQbrfvqNO6HQRhx//EIsm7wlPn23KrfVC0Wi0+\n97kLTE9PIIrjaNoa4XCQ1dUqg4PrfPSjAoODSTqdewt0Wy0oFi1SsrJiUqkotFoi1apAtSqwvGzS\naDjRbxeqfhPK5d3jl0gkWV5eplarYhjGA5NZQRBIJh8+AbYiFFy0Wla11mpD6ciyA5C7Pk+ztl5n\nZWWJoaHhB/aoer/gkNAcIBTl0Fjv/QprYsh63G632dhYx+PxIooCKyvLKIq8L/TRCplr43a76OmJ\nMT8/x8TEEZaXlxkbG8fr9aAoCooiYZoa+fw2pVK+m6PUore3t5t+vYLT6eTb3/42qdQIy8urlMtV\nTBNaLQ2Hw42qOuntTfDnf/5nmKZBLBaj09E4cuQITqcTn8/P3NwciUQC0zTtAEBRFDlxwpoycjgc\nKIrM/PwCkiTicLi4fPkyoVCIWCyGaZpsbW0hCNbFeHs7jdfr6QqWHYTDAcqZHGqzSV+9RjyXI7O1\nyaDHiywKeIEVTScejVCN9lB2u2krKltOJ9lu+T8W8BPz+1ldXcXr9eLzechksni93n2L8fT0W12H\nZIlKpczGhkl//37Rq2XeV7ZJTbvdsatpH+15nuvXrzK3Pcdn//E/8m+/7zcJeyxB53PPfYy//Mv/\nh3a7hWmaPP/8d+D379d6JBIJtrfT3VF4E0Vx2BqT9wIWQbb2U5Ikm4QeP36CQiGPy+WyQ0vvF5b/\nidKNuthfrXmQNO23g8997gJXr37UJk+y3OhWxMKsrob4x398lYmJCWo1gUpFpFIR91VV8nnrcbEI\n9fpe/6ReBCFHOGwJ7MvlEs3mOJIEXq9JKGQSCkEwaBIMmrz8skQmYz3/x35M47nndlmPIAj2+Lbl\nDdPiUWrvWNON1nSgrne6U5RWuvne61QgECCXs8wTP4g4JDQHiJ3AvUPcG3dKi36v4HA4cLs9aJpG\nqVRCEAS7KuN2u8nn8/suFPF4H1tbm7RaTQqFAl6vl2g0TLvd4vXXX+bECcvkLpfbJhaLUS6XGRwc\nYnBwiK2tNIJg2poUS7BpUCwWCAbDrK2t2QRlYGCAWq3KX//1XyFJIoZh8Oqrr3bN7gJMTR3B6/WS\nSqVIpYZtD5WbceTIEV588aWu+FFlaCiFaZpEIlHK5RKFQp5yuUytViMUChMJhRHaLdzNBnomQyCX\no7/Vom0YtOt1IrpOHQGxt49OXx9GXx91BFJnz0K5zPbCPEa7RTweJ51O4/P5aDabuN1uenp60HXd\nngbbe7HdGaPdOTcsa//aLfsTi8VptZq2P0xvb5/dElhdXeFHj/wYX5j7AunaFp/72mf5tz/wP6NI\nCn6/n5/92Z8jm83gdntumeLZee8zZx4jm80C2KLug8edx6lv/r2daaN3Giewc8ev67vVmt3/e0cv\nfVvMzq4yPT1p71O1CrWagqaBrotoGly61Mv58yVcrmTX0uDOVSNZ3iUooZCJ3z+BKK7i85kkk0P0\n9YkEg032dos6HfijP1LIZAQkCX7mZzo888x9lHAeQey0C03TIjiKIlOvd/ZVF3cqtx9EHBKaA4Ql\n4Dz0oXm/YnJyis3NTcDydXG5XJRKJZrNBqlUCtPU2fFvSaWSqKpEq9VCEGBgYABd17hy5QqGYbCw\nsMjg4BCa1iSXK9oRB2AtxnNzN2wBbrPZxul00Gy2aLVaLCwsoGka5XKZmZlZUqkhe6S1VCrZEQrW\nxM4cZ88G7e29E3w+P0ePHqVYLNjbsdNWCYfDtCpljrhceFtN5l/4NlOdFpeqVeRolAlJwlNvENc0\nOgNJtIEB1LFxvNEesuUSsizTarVwN+vMz88Tj8dJJgeZmbmO0+lEUWQqFY1IJIIoCuRyOcbGxhka\nSpJIDHLjxgzp9BaGoZFIDNq+JnB34rszTZbP58jn8+Tzefr7+60Wkajw/cM/wOev/zlb5U1e3XqF\nZxPPAdwXERAE4YFN4Q4Kw8MjXLhwHlEU6HQ6JJODD701tONWa1VrLFKpaZ0HyBa6P7zwQg5RtNqw\nhgHXrkkYxjDZ7DW83g6aJlIonKbdnuPYsQHCYYNwGEKhXdKy8zgYNPH5bke8BvY83l9tqtfh935P\n5fp1EacTfvEX2xw/fvfx8kc9hkEURQzD2s5QKEyhkKfRqCEIEu125x1ZDjzqOCQ0BwhVdRxWaN6H\nsEYgratWX1+cvj7Lp+TixYsAOJ1Otre3iMd7bC1FJBJFUSzB7sBAkmw2z+Zm2l4A3G4vW1tb9PX1\nEQ6HWF1ds1sirVaLp59+mvPnz9veFmtra0SjERqNll3NsNxa65imtXiXy0UajTrNZotk0rpoN5uN\nbnl8mHthYGCAbDaDKAiIlTLS2irD02+xdPUqA1rbvvb7alU0UeRc/wCZgJ+i28PRf/YpfJOT1BsN\nW2S4uLhAs9mgXm9gGAanTp1C0zqsra3T0xPjiSeeZG1tnUQiiSzLXXO5EIlEkkgk0m0ZZahWy7hc\nTmKxOO12G4fDQaVSQRBAFGXbXXkv2u02s7OzVCplSqWinUA+NzdDJpOlVquiSTotrUkHjSF/6m2f\nH+81PB4P5849TT6fw+Vy7/O0eZgQBAFVde7RZ3QwDP2hmrpVq3snqmBw0KDVAkU5gqqCokAiYXL2\nbIdf+qUSsuxAlt+eqeHNKBTgs591sLYmEAiY/MqvtBkaejQHFO6Fu41tj4yMdafedHy+wCNVCX/Y\nOCQ0B4jbtZx2ep2HeG9xq0Pu3u9vRSAQIJlMoqqWHblpmqytbTI0lOLq1enu52zg94cYG5tAUZbY\n2tokGAzS6WjkclkqlRKtVpNwOEq73WZ9fQ1ZVjh9+gzhcJjnnnuOtbVNDMNgeHgUWZa5cuUK0WiU\nVqtFOp1GVRXOnTvHwMAAf/VXf4lpCrjdbgYGBnG53KRSw/e+A9N1pNUV1Pk5PjIzS+bqNFK1Qq9q\nkS9V69AJRyEeR+/rQ/V68UxOUTRNVAFO9vbTaDX51pf/K5Ikomk6yeQgLpeTgYGBbqK0lRquKCrD\nw8N0Oh2GhlIEg2Gq1Qp9fX0kk4PdDCoJMDFNnddeex2Xy4nH42FpaYFUagTDMDhx4mRX7HjrJWtr\na4vLly8iyzK1WoX+/gFyuQzBYJBMJkM0GqFarfLy3Muk62meefJZkr73t4ZAluV3La1655plpUG3\nuXz5EqqqYhgwNDT8jtLevd791ZBYTAfmcDo1NA3a7QEkyY/f/3BbQOvrAr/92yqFgkBvr8mv/Vqb\naPR+L8yPbrL1Dlm5eY3Z2x7/IOOQ0BwgDp2C31vsJy07X/eSlztBYPdiZT3WdWtMcsd3QhCsFs1L\nL71IoWBN/fT3J6hUyhSLRQYHU+i6Sb1eZX19g1wui8vl5ciRY1y48CbHjx8nEomgaRobG+uk0+v2\ndMLY2Dgul4vt7TT9/f1cu3bVnu45cuQofn+AWKxDLNZDPB7DNK1qYLVa5Qd+4Adv3Zt6DWl+Hnl+\nHmlhHnlxEfaclwOAGQ6jd31foiOj3NA6NHWr3x6P9xKNRunf85pf/eorxOO7njnXrk3z1FNPAZZQ\ndcc2fseIb+dCu3dkutFo0GjU7AqDJWB0szNu7nS6uHZtGp8vQE9PD8Hg/skygHq9bpueWaGYHds4\nr9WyzMe8Xh+GE3L5LE7ZwY+O/5j9/Hw+TzabAQTi8bjtTHsnFItFW0vj9/vo6YlRrVreNwe1aDxs\n07Rarcbi4gKmCT09UXp770/grCgOrl27SiqVQlVVBEFkZmaWcPjJt70tzz0X4YUXNhBF6+wyzSXi\ncaetk8nnl2m3Izz77IN70NwJ16+L/O7vqjQaMDpq8JnPtDmgItch3mUcEpoDhFWhOfShOWg8aLXF\nwn7CsvP9ncqx4XCYjY0126ysXq/jdDq75nmWVmV1dZXh4ZRNYlOplO2VEg6H6e9PdO92DRqNJltb\nm2hah9XVVR5//Cx+vx9BkFleXsTvD5LNZqjVKkSjEVwuN4qisrq6wiuvvMT09HTXZ0NgaGiQ3t4+\nYrHYfm8M08T1+f+C+u1v3XLLZvTE0MbG0EfHLPO63t59ooB7uWQYxv47a1VVabXaOBwqiqIgyzKd\nTptarYau6/uiGACWlxepVmuUyyW2trYYHR21AzsDgQCFQoFMJoMoioyNxVlcXKS/v0U83rtvGy5d\nukSr1aBer1OpVIjH42xtWe7L1mfkRlVVXll7CcM0OR07Q9RlEapKpcLm5obdMltdXcbhmLhjDlaz\naX1mVvVoidnZih0EaZ2DW7fs58PEw2gVaJrGW29dxuGw9tGa2FOIRKL39XxRlHG7vRiGjmHoqKpM\no1HD6XS/re0bH09y7NgrXL3aiyCIyLKOIOyO3yuKydjYdcbGnkDTWu9Yt/LaayJ/8AcqmgZnzuj8\nwi90uIdf5vsEh+sJHBKaA4WloTlM234YuF2I4oNVW3YJzNu58AqCwPHjJ1lbW8M0DVKpYRYW5ggE\ngmxsbHQ9QTRarTahUNh+zujoKC6Xi2w2YzsNS5LM0tIi9XqNWq1Go1Hn+vXrPPmkdadrGAaFQp7t\n7TROp+UF8sYbrzM2No4sy1y4cIFisWA7EF+7do1Go8HU1JG9BwzXn/wx6kv/BKKEPpxCTyZRv/VN\nAJaLBa6+9CLqG68T9wfInT6DPDnB0aPH78tjxel00263beF7T08Mj8dLrVYBBM6efRyXy4Wmad0c\nq91jXq1WqNVqeDwePB4P+XyOra0tentjVKs1fL4AiqKQzxc4duwo6XQaMLl0aZsjR46RTFrtovX1\ndXp6oiwvLxONRsnnreiFwcFhjh49hqIoZLPbnJ+/wI2t67Sabc6NfaSr9WmSzWbRdQ2fz084HMbt\ntnKM7jSSXamUqdfrvPHG65im2TVXk8jncyQSA3Q6HbLZzAM74r6bqFTK+z4LVXWQz+fum9AYhm63\n/gRB7IrgTdrtete35t7aGl3Xabfbdl7ZZz5zhs997ttMT0+g6yqGoSGKMoaRo7d3mn/5L3/gbe/v\nXnzlKxKf/7xF+L/zOzV++qe1WwwJ7wf3UzHTNI10egsQ6Ovre1f8fB7FFti7jUNCc4BQVeUwbfsB\nsVeQ+05aRPBw7mj3vYsg2IspgCwrCIJIX18fxWIBVVW7Cdn7/6z6+/vRNI1qtYwoSgwPj/Dii/9E\ntVqm09EIBAK0Wi1u3LjB4OCwndu0E4QI1kKysLDQnbQq0um0cTpdKIpCs9lkfHyCQqFguZlKEq4/\n/ROLzCgqtV/+DNrkFObsDMbXv8Zas8k/1Gt4nE7SzRblmRs8LwpU43HefPN1nnrq6Xsei2effY7X\nXnuVer2Bw+Hg2Wc/si/Ir1QqUa/XCQRuFSF2OhqybHk0ZbOZ7jRGAIfDQaulsbWVJhaLMTIyTKlU\n6nqSmEiSTLFYoKenx3ZQVlWV/v5+stkMDoeLRCLBxMSk/V7RaIzz829S89d5vvdj9EZ6abfbFAp5\nO8m5Wq10PYLuXqnodDrUajUEwRrd397exukMUS6XSSToVqXuHBHwKMDlcqPvcZXbCeS8Xxw7dqKr\nV1LQdY1kctj2PrECE5W7TkJlMttks1k7dmJkZBSn08mv//o55uZW+da3sl0vIo3jx/089dT34XA4\n9oyPP/jftGnCX/yFzFe+Yv1d/uRPdvjEJ3TK5RKlUhFBsGwX7hVtcjPutI+apjEzc4NAIIBpGty4\ncYPJyckDJTWWM/SBvfz7BoeE5gChKIdj27fD7ast2j3E0g/WIno3MDo6xo0bN7ojvTFGRkZwOKw4\nA8Mw2NiwWh92knQXL7/8MqOjo8zM3CAYdFCr1SgWCzQaDdptnSeffJJEIsHVq9N2BaRcthx0M5lt\nFhcXcbmcNJutrsldhGAwxMbGGlcuqzw9PY364gsgK9Q+/ctok1Osr69RWF7C5XTy7VYL9RPfj379\nOp2lRZouN4XjJ/EKAuVy5b48gURR5Ny5W4lPp9PhG9/4GqZpIAgC0WiMM2ce2/d6gUCAlZVlMplt\n/H4/zWaD1dV1Op02gUDI1r/09MS5fv0qoiih6x2GhobRNI1sNoMgiDidTrLZDF6vD7fbTaVSuaXl\nczFzgeXqEj7Vz9m+xymXy2SzWVRVtT1N2u0229vbTE5O3VVDYxgmPT1RFhbmaDZbhEIhWq227fFR\nKpUe6kjsQZzaTqeTZHKQ1dUVTNPE7w88kIOtLMs89tjjt/zcsuBvdiehrMBESbp1eclkLLH2DjY2\n1hkZGQVgbCzJ2NjDFWt3OvD7v6/wxhsSkgQ/93Mdzp3Tu+dBxnaEXlxcYHx84qGQjq2tTZvIC4KA\nx+Mmm80Si8Xu/eRDvCMcEpoDxIc5+uCdt4j2P34URw0lSbptkJ1pmly5chlJkrouu9ucOnUKwzB4\n660rXLv2Fg6Hk3K5gsvVodFoEIvFaDQa6LrGtWtX+fjHv5tarUaz2aTZbOL3+8jlMkiSiNfrpd1u\nUa/X8Hi8DAwkrfK2aaJ/5f/j6ltXOBMIWpWZqSO0Wi1yuSwBnw+nQ8Xt9VDYWCO2tYEkgKlpeP/u\nSwg/9VOo/lsrKvPz82xtbRIKhTh69Nhdj8n582/i9XrtKlU+nyOdTtPbu6t92fF9qdctg7yenjj5\nfK5b0QkhCALtdpv+/n5UVWFpaYlIJIIgCGxsrAPW6HK5XMLr9dvkaWrqyL4FSTd0vjj3BQB+aPyH\nyS5n8Pm8OBwKm5tbuN1uhodHaLVahMORe/rMeDweNK3N448/yeLiAvV6nf7+BAMDSTRNY3R07IHy\nfd4rDAwkSSSsMf/7+bu6nxaLFZjo7sYmdOh0mhiGjCgqthGix+N5V03dajX43d9VmZmxPGZ++Zfb\nHDliab/K5eK+eAuv10OpVLTbxe8ENx/TdycJ2wR2z/0P6yTtIaE5QOyUVT/IuL0g935Iy87Xnd+X\n7uoA+ijCNE2uXbtKtVpFFEUGBweJxeJsb6cRRcFeXJ1OBxsb692sJYNAIMCrr75CrVaj07GyVyzf\nlRiCILC6uophGBw5cpRCoUA+n6enJ0Y2m8U0obe3l2w2g6KoDAwk7M8gsbiAb2mRkiRT+cVfwuhq\najqd9r675SdkmS+fP0/d4cBpmgybBpLWQUfgxImT+/bx4sWLLC8v4fV6WViYp1DI88wzz93xmHQ6\nGoqyV0ch7Gtx7MDlchEKhW0B7s35SDt3tz09MVtPAwLBYMj27/F4PDQadSYnp267LS9tvEi6vkWP\nK8Yzfc9yfuN120lYlmXa7TbVahW/P3ALmdnc3KReryOKAonEAKqqEgqFaDabtNsdJiYm8fn872kE\nwjvB29WR3ev/FcVhByZWq5VucKqAYZgoioLX67MrgM1mE4/nVmfmh4FcTuCzn1XZ2BAIBq2x7IGB\n3euSIIj70sitJOyHow7u7e3jxo3rdvZas9m040cOcbA4JDTvCR7dhOnb4SAFubtuu49eBeZeWFpa\nQtc1O+F5eXmZcDiCaUI6ncYwDEzTpFKpsr29jdvtYmRklFwuT6FQpFIp09fXT7lcotVqoaoqmqbh\n8XhotZq43R7C4TDhcJiVlaXugm+g6zrhcIRYLM5TTz2Ny+ki8NoryEuLIMq0vv+7MI4dt7fT4/Fa\nU0ndYy+YJv99JEq13cYnSfSMT1L9pU9j7LnomqZJq9VieXnRHkd2udxsbm7d9ZjEYj2sra3aEQJW\n6+jWykcwGCSfz9maFL8/gCiaVCrW5NDe+INgMGSPbF+9On1fn01Lb/F3C18C4EdGfxRJlPD5/Psy\njjqdDqOjY7c8d2tri0ajbuclLSzM24JrWZZsndfec7lSqQAcmMnd+wlWtcbFyoo1Tm9lc4mUSiWc\nThe6rmMYBj6fNfb+dmCaJoWClaYdCoX2fRarqxaZKRYF+vtNfvVX20Qi+69VfX39zM/PIstKd1rL\ncdvYizu8e/fr7a9ZkiQxOTnF9vY2smyFUj6KFeYPIg4JzSFsPMqC3EcBnU6HfD6Hx+PB6/XRbrf3\ntTh2WiXFYsFe4N566wpzc7P09FiBjzMz1ymXK9RqVdt40eVy02w2cTgcOByW8+teoaamaSQSAxw9\nepTp6WkURUVRHJx76imGDIOxi+e58uYbNBwOmh//OEPPPb9vuwVBYCIYJP8nf4xQKpM0TSKqSlxV\n0VPDVH7x05h7tCOrqytcuHABRZHZ3s4gipI92nwvjYGlIdkJthT46Eefv6PYcmRklEajgWHo3Uko\nA00zu2Lr258/fn+Aer2G0+mkWCzg8/n33Wnv4OsrX6PcLjHoG+Js/PGulsFLp9NGUVSq1QoDA0lq\ntSqVSpVgMGhXi+r12r5tNk0TTdNoNhsUCnm7QlStVsjnVbLZbQRB7AZ6CoyNjX8gz/8HgSAIiKJs\nVz12kqBNU2dwcPSBX2/npsqyPTC5ceMGTqcD0zTJZrcZH59EEASuXhX5vd9TaTZhctLg059u0/24\n9sGyA5igXq8jy7Ktfbu/bbn370iS9K5V7/YeG+v7d+VtH0kcEpr3EO9FIOO74dnyNreMR7FKk8vl\nutNDbarVGg6H5bcSi8UIBgOsr68DJul0mlarxfj4BI1Gg4mJSb797W9RLpfx+/22fb9pGnQ6Hdrt\nDoIgUK1WcThUEokEvb29SJLK8PCILTQFixSBleGT6O+jv1JjdGMD5WtfQ6xVqWtW2yp97mk8icQ+\n0WVrc5Orf/T75N48z0KtyqjDwY/GLYfZzuNPkP7xn2RlbQ1jZRlZlgmFwrzwwrfweLy0Wi0kSWRj\nY41UapharbZvguh2mJm5QaFQxO32MD4+cc+KxY6Hj2la2gZrHHg3W6rT6XRN3KyfDQwMkM/nWVxc\nxDB0HI42V69OMz4+YS9K1XaVf1z6ewB+fPwn7OeGwxGuXLmEz+cnlRrm6tVpNjbWURSFYDDEsWPH\nCYfDNjnZXSBMJEnqap7c9rY7nU5WVpYJBoN2u0zTOmQy22/TxffRO//fCbxeX9dQ0oOut2k2mzid\nKu12E0VxPPD1Y319nUajTbFYxOfz4fdb55YkSWQy2yws9POHf6ig6/DEEzo///Md7iZpskjubdjO\nfeJDzlkfSRwSmg8gHmaLCD6Y1Zb7wfLyMgsLc4RCYdbWVpEkiVAoTKNRp1jM8/GPf0/Xl+Q1BEFE\n0zS+9KUvIMsy4+OT+HxevF4vjUYDoNsqCtPTE0NVVcplayQ5EokyMTHJ448/jiDsvwKbpkm9XMKf\nzSLPz+NeXqRdqeLoEgEj2sPrgSDViXHc3XbXxYsXGQiF+MZ//j025ucoddrkqlUSPj9L1Sq5Tod/\n/kM/QvNnfpbV2Rm83t2L+qVLF+y7akEQ8Pl8xGJxolGrxXW3FsHS0gK5XA5JktB1nbfeusxHPvLs\n2zp/8vm8fcxN02R0dMwmPxZBVPD5LPdYp9PJ+vo6IyMjAPzD0t/T1JtMhY8wFbZaRSsry7z88ot4\nPB7W1tbtdkgwGMQwDMrlEsvLS4TDYZLJJHNzsxiGDgjEYnEWFuYplYoUiwUSiQE8Hq9dVdur/ZEk\nGU172EnNj67V/t0Qj8cBk+XlZUwTjh49STDowzA0Wi0rFkMU5fs6P3K5HI1GA6/X39U+VfB4PLjd\nbkRR4mtfg69+1frb+Z7v0fjkJ7UDJBwf4hLII45DQnPgOLiL0NtvEe18/WC3iN4JMplt3nzzdarV\nCrOzsxiGQbVaRtP0bvVEYGhoGKfTxdjYBMvLS902hXWBXVpaJB7vY3l5GVV10Gq1aLdK5Ed5AAAg\nAElEQVRbVCqW50k4HCIQCODz+Th58hQul9Xu2KkMCPUa8qVLKJcu4nv1FRx7bjWFnh6aH/sOOqcf\nw0gkqPzTt9n5HEvpLV784hfIbm1SFgTcgoBbUWm6XNQ0DYcosqF12H75n0heuYwaCeNIpTAiUYxI\nBLHZ7HqM6GxtbbG4OI/L5eHMmbO4XB4kSb5jdk+1Wt9XWdI0nVardUfn3bthc3Nj3xTK2tqqPRKt\n6/odBeS5Ro5vrH4dgB8f+wn755cvX7JHsgMBHysrKwwPWwGeVjqxYbsfy7LM1NQRdN36rFdXV+zs\nJEmSWV1dJpFIEgxa+qb5+TlcLhdra2tsb2c4evQIHo/nnjEKHwbE47373J2XZ5ZY/tYiekVD8AgM\nPJtk9Oj4PQcCdtqMYI39V6sVqtUKTqeLL36xyptvHkeS4Kd+qsN3f/fDJpR3wqNyzXx/Et6DwCGh\nOWC8U6LwXjvkflixvr5GpVLGNE0URWZhwao+HD16FF23FuorV67w3HPP0el0bB2Hruv4/X76+/s5\nefIUjz12lunpy5w/f4GpqaNUKmXbo+b06dNMTEyRy2VZXl4h7nIxmi2gXryAPDMDhnVhngC+LiuU\n++I4hob5np/8JC33buvD4/FRzWVRL19m9htfpa0blACH30/l/2fvPYMkS88639+x6V1lZlVleds9\n7ae7p8dqpBlJLJLQsuKiuFqQREha9sJyhRBuNyD2BtwbsUEEuyAkcfGLQIDQhQVhZFgkjeyYHtMz\nbaq7y7usSu99Hnc/nKzTXe1nNG6Z+n/rrjQnT5487/M+z99YFrVKhaAk07VM3LEYhiRS8wfRDB13\nOo3YbiMJArppcrCQZ62r8+1uh2/lcxiWRTgcplGrAQb79x+g1WoxPDx83TmTZYlWq+V0UmRZelHc\nhKtxbbTC1f92uVxOEbITQ7GzaH5x5R8wLJ1Tg/cyFtxNcgZ6oaBbpNNpYrF4T0oskk6nCYVCXLw4\nx+joKIFA0CnOdr7fZHKDubk5ms0G6+vrTExMsW/ffkzT5KmnnsDlcpNIDFKplAE7DmLnXLyWqFar\npFLb2OaEClNTU7flQlUqFQoFO7PK63XdMEfrxaDT6fCtT3+DvrkI4+K47bRsmeQfz7FwcJ5HPvZW\nPB7fTe9Rfn+AbDaN368iyzKhUBhJ8vDnfy4yP38YVZX58R/vcuqUecPn7+GNgb2C5hXGnXgQvJwh\nirDXbXk5YFkWfn+AVGqbcrmEYRhYlj2asGW+MbrdDvF4P7lcvpfP1MDr9RGNRlEU+8YbjUZ585sf\nxefzs7S05Mz9QyHb3n/1/DmC1Sr7Ww3aX/1nCh2NUbcLRBF9/11ox09wUZSw6lWGAkE8HjeXL1/m\nxIkT9oF2OtybSTP/1/8f1VqNfLfLliyj+Xxopomr54Cbr1YJHDtGJxgibVqcfuABlgJB9gcCXHr2\nGUrpFJWtbV5YWaFhmLzQqDvHWCgU0BsNZus1TmynqPv8yCdPYoyMYoXDIAjMzV0gm832xkQi09Oz\nHDp05KbXYqPRYGNjHdM0UVWFqalpx4Z+x/SsVqvS3z+AZZl4vbu5Dvv330UyacvbE4khwuEwyVqS\np1JPIgoSPzj1b3Y9fnJyisuXL5HNpul29V4BJFCplLEsuOeeU0Sj9ghrczPJwYMHsSyLpaVFkslN\ntre30DSNUCiMqqoEAgGWlhapVKoMDvYjSTKCYPM87Osijq7r18ngXwtsbSWJRGxelWmabG5uMj5+\ncxlxq9Uik8kQCtnXarGYR5YV3O6Xzjf51qe/wezFGaeQEgQBUZCIC/30Xerjm596jLf/3Pf1uDXX\nF1uRSJhGo0ajYXcBQ6FhPve5YZaXRfx+i49+tMv+/W/MYmZn+di77b+BC5pPf/o3mZu7gCAI/MzP\n/Dx33XXFIO2ZZ07zB3/wO8iyxH33PciHPvTjL8t7Xl+4GL2L8bUm5O6h2+2yvLyErut4vV4ikT5E\nca2nZJIJBgMONyQYDNBotLjrLttk7uDBg0xMTLC2tgZYuN1uEokhvvjFL9Lt2iOcRGIIyzIRdQMh\nX6Qvk2KiXELuagRUFSwLS1UpjY0TffRt6EePYfn9bG5usP7csyiKQi6XIRbrRxCgXirhf+Zpgl/9\nZ4RalbsVhcdGRhFHhumsreFyuahWa/bxSzJ3v/VtpNJpyuk0jzzyKKlUiqeffobP5rKoqozH4+dy\nJk1HkunqHXyhEKKqgiDg9niptFtUqhXU5SWsRgPfU08AYHm9bEf6qE5NIY2OEYn00em0sCyTWq12\nw+gDgLW1VUc5ZVkWa2trTE2NU6vZI754vJ9sNsvc3Bzj4xMkEkO7nm/7/uxelP9++QtYWLxl+M3E\nvbu5PocPH0GWFb70pXU8HjexWKznFSQzMTGxa4xm9jpjNuEbotEY9XqN5eVlZFnB6/VSr9cBAUWR\nWV5exeezs61M0zb5y+fz+P1BGo36Lq+VTqeDKIovyoDvxapWdrxP7HgIa5eZnd1FvLXZZ6lUJBi8\ncsyBQIBqtUos9lKIzrCxuE50ru9KNAaAbiHIAoIgIkgK8Ytx1hfXGJ0edVyGr71uEokEquqlUJD4\nxCdUMhmBvj5blj08/OrxWl4do7wXg9fb8bx2eEMWNC+8cIZkcpPf+70/Zn19jV/7tf+H3/u9P3b+\n/slP/ga/9Vv/L9FojI9+9P/g0Uffzvj4xB29tmmaZLNZNjfX2diwb56/8As/y9ZWkne+85188IMf\nvOrRV1+Ie4Tc1xKXL19CliUkSew58AaIRqM88cTjqKqKaV7pEkiSzIkTJzh16j7n+V6vd5dr8Ff+\n7E9Q0xlcHjeWx0v2/FlG0xm2shlcksiIojCKQMbjwZiZJRePsY6FhkjB7WK/IODDJse6XC5M08Tl\ncpPLpmFlhfz//Cey5TIDrRaBsXGe2r+fp7JpSgsLhEIhcrk8oihgmiYDQwmKpTKqqlKpVMlmszQa\nTTY31/B6vUiSzKVLc3Q6bWRZRm8ZYIgogAGYlonkchE8dR+F0VGG63X0ShVpaxOh0cAoFBC3kmTe\n9jYURe0VUitEozEuXbp0Qzflq832duTuYFvj74xpAoFALzzSTz6fp15v7HIc3kEqleLc+gs8t/AM\nkixz19BBVlaWGR+fcMZG3W4XXde4++67yWYzNJsNKpUybrfHMdHb6VooyhXFkizLFItFJyag2+1i\nWSaKIlMoFLAsk0DAj6qq5HI5FOWK341h6BQKBXw+P5Zlsby8jCgKvQwq91W5YDdbkHb/9u/kVlAu\nl0in0/b32JP7W9aVJ+q6jqreupjyer2Uy2WH12VHbLx4HtQONr+zwYhojygtzaK92MZsmHiOehBd\nom2gqAyw8cQGo9Oj6HrHiU+4kg9mv9bGhsAnP6lSrQqMjFj87M92uErU96piR0K+vb2Frhuoqvoa\nGy3urRVvyILmueee4eGHHwFgfHyCer1Gs9nE6/Wyvb1FKBRyEnPvv/8hnn326TsqaP78z/+Ez3zm\nD+l0didsJ5Ob9PX19QzKRK52x93jtrw+0Ol0kGW7YyBJEq1Wk1qtxvHjx5mfn+/JmNscOXKMkyfv\n2RVSeS2Up57E/NrXcV+1y22XKxxSFWJeH+1YjMl7ThG5914En5/zcxfY2FilXq9TqVS4fPkS4XCY\nD3zgg6yv292W7e0kgWqN+tmzzKgqS5IEwSDrp04RPX4S2m26ySTtdptWq0UiMYhpmqTTafL5PB6P\nh1ar1Stqyj3TPzttOZfL0um00TQNSZJQVZV2u42i2P4chmHy4IMP0jc6wug73kUoFKIBYFkI5TID\n//ev8ERqmwACxWYTWRaJRPpot1sIgrCLV7ODq8nDO2MnYBc3pl6v4/f7UVWl5ztTua6gyedzpNPb\nPJN5GqWtMiPP4BJsg8LLly9z6JDdRSsUCgQCAURR7CmxDHRdY9++fWiajmXZ0vu+vijT03YeVCAQ\nZGvLHqG53R7H8DCZ3ERV3UxOTmIYdjfE7/fj8/mIRvtwudyOS+yO4imTSeP3e53P3WjY19dLNeKr\n1WrkclksyyISidDXZ4/Ltra26XSamKZdAaytrTI9PcPi4gKCIBAKhRkbu3VeUjgcodFoUCqVe9+V\nQDx+Z2ncN4JZt4/F7Ji059tYbRPBJSLIV+57AiC2RVwuL5rWwTQNut0msqwiSfa1MTcn89//u5tO\nR+DAAZOf+qkuV1HJXhPs5Kp5PAqa1mFrK+nESuzh1ccbsqApFPLs33/A+XcoZLuWer1eisXCLh+P\nSCTi5MfcDoqiMDExxcjICGNjE4yOjvFHf/R7/PZv/64zn4fd7rh7xcxrg51EaLD5LFdLby3LQpZl\nLMveGRqGPT4xTYPx8XEajdqNX9Q0cf/dFxD+6cvo7SadfbPIXi9Co0nF5SH/r/4VyugYliBQ8njI\n6TqV5CadTpu+vj7W1tYQBAFZlmk06vz1X/8V99//AHoux4lCkcryMmOmSSMaRTpwgHY8TrnRQK6U\nMYwr5nK2Zb+9cCqK4nQ/NE3DMEwCgRCWZfRM6ppO/ILP58M0LYd0GY/HMU2LsbExTp26j4ceemi3\nckcQsCIRxCNHOFwqslEu0YxGiUQSvdHLbnv5qzE1Nc3GxhqGYSdmT0xMAvZ7zc1doNVqsbm5yeDg\nALVa3RmfXItKpQIypJspFEPmrqG7aDabBINBOp228z2XyyVEUcTj8TA0NESn08YwzJ4BnMjg4CAe\nj3fXDjsajVKv2y7PPp+P8fFxXC43KyvLeL1ePB4P3W6XbrfL8PAw8XicQsEOvrQsC4/H6yi1dN3A\n5brSGbH9jNovqaDpdOyFc+e7KBaLPV5JmHw+S3//FWfmVCqNy2W79VqW6YzEboedRdl2jG6+6GO8\nGqJfwGyatOdbWJqF6BNx7/MgSNd0oHz2CEpR3JimjqZ1etlQOk88ofJnf+ZGEOD++w0+/GEN+XWw\nehmGhiTZnVtFcVGr1V/jI3pj43VwSbz2uPVM9M7nk+973/t53/vev+v/PvvZz9wilv71aSb36uLV\n//yWZTE3d95Z6FXVxdTUNCsryxiGjsvlZnp6llarTTK5gdvtxuv14HZ7SKdTNzaXa7Xw/fEfUT3z\nHCuqytS//jc8Xq/hdnsJT06yLzFMTVXpVqv4/T5WV5fxev1IkkShUCCfz6FpGvV6A1G0jd3cbi+D\nLjed73yHXL2GKQhoDzxEdaCfQrGAubmJpulEIlEnRmBkZIxSqUy9XsPj8aBpei9jR+3lJ0W49957\nue+++/nEJ/4bz/X4ORMTk5TLZbxeDz6fn/vuu5+xsTFCoTCRSHjXBuBaaIcOs+/0U7RSafre9DDr\n6+uOQd6OqeDVWF5eolQqIQi2rHdkZLRnrGcgiiJHjhzjmWeeYmRkBLBYXV1mfX2VUCjE9PTMru5O\nuVzhwso5tLxOUAqAJTjjEUkSWVxcIJvNoiiKk+ysqirlcgVBsAmwtmNw44Zd2PHxcTqdlj3uy+W4\nePEirVabWCxKt9shGo3T39+PzxdgYmKK1dVV2m3bd8jt9hCL2Z2NcDhENptxCphare6kTL9YVCqV\nXTb9LpeLSqVCKBR2/JBkWUbTNMrlMtPTM06MQ6vVplwu3bFqyS5+vrf7VDzRz+bcJjErihSUcM26\nrytmcmaO0TePOe8pSQqiKNHtdvjSlxT+4R/s7/QHfkDnve81XlECbLvdplDIAQKDg4ld15uNa6kC\nry32nIKv4A1Z0MRicYrFgvPvfD5HNBpz/lYoXPlbLpdzxk8vBVfvkPfw+kA6ne4VDPZN0jAMms0m\nx4+fcB6zurrM2toqhUIRn8+Lorjo6+vDNC0mJ6d2v2Cng/+//TrSVpKk2438v78Pz/AID7VazM2d\nJxLp48yZ55icnCAYDPWUM0lAYHFxAY/HJhHrul18FAoFIpEwWquB+g9/T6nZoNoXxTx1L5qqsrW4\niM/nRRRNNM0gl8sxMNDP2toazWaTUqmEx+NxOB/tdoeRkRGazRbHj58kEomQTG72uiLQ7WpoWpeZ\nmRksy+LIkWMYho7b7UaSbIv4W0E/dBivJHE8lWLZ6yd28h5EUep1BnZ3IDKZNI1Gw3FozWazhELh\nXeZ+giBgGBbRaNQhasuyyP79B1heXnIKykKhgChC02hg6SaCIeJyudE0u2syMDDI0tICgiD2iK4h\nLMvi0KEj3Huvj3a7TTabAeDAgYO7Fq50Ot3LmbL9htbW1sjlckQiYVyuFvV6jb6+KPV6DdM0GRmx\nF+ORkZEeEVfc1fXz+wOYpkW5XEQQBMbGxnf9/dbY7TPi8bip1aq4XK6eaZ2JJEm43R5GR8colwt0\nu3YxY1km+XwOy7IYGhpGUWQ07aUE5r60hbtxuo7rCyrpQIq4FMc17eFaEZNpmRQPlbhn5r7d/2+K\nfP7zAb71LRFBMHnf+5o8+qiOZblvqITK5/NomkY0Gr3FJvLWaLfbbG7uZLJZrKwsMT09e4Muo30+\nYrEYuVy2d5/X9sZNrzHekAXNvffezx//8R/wgz/4Q8zPXyYe73dm/IODCZrNRs+nIsYTT3yHX/mV\n//KS38vlcu0VNK8z6Lq+6wYliuKuVPTV1VWeffZZPB4P0WgfiqIwOjpGNBpjZGQYURTJ5XKUSkVA\nwDz9JJsXzlOWZZZnZogvLTEriNRqVSqVKppmUC6X+Pa31/F6/XS79rhjfX3dyaO5eHGOkydPsr29\nbSdyB4NMbG5xulpmwe1GHhtjX29kks9nabV8FItFJibG0fUuc3NzyLJEPB6lVqsiSSJer4eZmVkW\nFxcJh8PMzu7nyJGjyLKCruvE4/00Gg1WV1epViv4fF7uvfcB3vGOdzheO8VigXQ6zdDQ0E1HFVYg\ngDE2jry+xkiljH4bSfDVCh+Xy9XjyuyWBO8UF6qqOOGGgiCg65rzmPX1FdrtNqpPRQkp3DV6gMmJ\nSeLxfkKhEO12m2bTTjT3er1oWpdSqeQUU263+4YpyNlshkaj6uRpraws4/P5GBoaIp/P09fXR7vd\nplIpEwyG6O8fQBAEFhYuY5oWpmnQ1xe7ju8TDAZ3mQW+VAQCQWq1Wu8adRMMBhgbm6BQyDM7uw9R\nFGg0mjSbTY4evZt8Pk8waMcQ2Iq76z2EXglUv1qh9Hl7c/jwTzzC+cw5+i5GiHNlg5gzcxQPlXjL\nTz+667mdDvz+76ucPSuiqvDhD9c5dqyLZbGLW7NzTS4vLyHLMoqisLy8xOTk1EsiMufzOYePJAgC\nfn+AUql0DWXgyuMjkT5n47Djj7SH1w5vyILm8OGj7N9/gP/wHz6CKEr83M/9J77ylS/i9/t5+OFH\n+Pmf/yV+9Vd/GUGAt7/9+3cl/75YKIqCpu0VNK8nDAwMkMmk8XrtIrbVajM7O4BlWSSTSS5cOIem\naT2+xQjZbBpdNxgZGWFgYJBcLtsrRtwsLS5Q+NY3QBQ4LUmImTQtoFar4vF4MQwDt9tFo1GnXC5j\nGLbl+/z8PIGAnYLd7XYJBu1cqJGRcWamZ9n+1jf5+/VVBoMhKkBsawtJdWFZJrFYjFrN9olJpVII\ngki73UbXNYeY2mw2MQwTr9fLO9/5bsbHR/B4bBO5SCTMysoKxWIBj8fD8PAwY2OjHDt2HFVVefzx\n7xKLxchmc066dCqV4uTJkzctarTDh5HW11DmLqAfPXbTcx8ORyiVSs5i0+l0iESuH39MTU2ztLRI\np9MF7MBHwOEGlctlwuEIzWYTt+aiv9FPNVmjNdBkaytJtVplbGwM07SuW9gWFxeRJImxsbEbdkka\njcaucFAAr9fHxYsXaTTqNBo1wuEI4+PjWBb4/X6+8pUv02w2EEWhlxwuEYlE7thYsF6vo+sWoVD4\njhZFTdOIx6MEgyFaLbtw27EVGB+foFqt4na78Hg8iKJIuVxC0wxOnDhwgxGKjdOnn0LXNQYHEzdM\nIb9TWJZF+W9KVL9ik4rD7+0j+I4QCWGIjaV1Nr+9gdWwEHwCo28eu64zU63Cpz+tsrIi4vNZfOxj\nXcbGDEwTZNmFrncdbo2iuGi1bK7UTlcmHA6TyWRu6bVzM+wol67OE5Pl67+Pq38GkiS9xgaKe07B\nO3hDFjQAP/ET/+euf1/9Az527O5dMu7vBXaisnb7B77h8eoNflVV5ciRo47PyPT0LKqqcuHCeXRd\no1qtUCgUe+oaD5FIHwMDgzSbTZLJTWq12pVxVSpFrdlkodHANR7DMMzeCGigR/oMkkptU6lUCIfD\nGIaJz2eTRUXR5rYEgyHa7SaxWBTD0Fj45hNsJjeJhMM0/X5cikIqlWJoaJhms8nBg4fweivUalXq\n9Tr9/VEMw3SIrwcPHiKZTDI6OsZDDz3EQw89bB+rYTiGdiMjI7hcKsvLy7jdbh544AF03SCdTqEo\nKsnkJplMpmd4J9LptMnlMvT3Xy+bBnvsxJe+iDx3wd7C3qTwCYfDjIyMkMvlEAS7S7K2tgLA8HAC\nv98musZiMYeUm0wm0XUdy8KJK2i32wwOJshmMxQ2imgtnenRKYJB+/nVaglNSzAzs49ardIjPmuk\nUhlGRoZZW1vjzJkzHD58iH379l+Xmn7totZut3oEZS/FYpFyuczAwADBYJitrS1kWWRoyCYU12o1\n8vkcw8Mjd1TQrK+vo2kdJEkhnU4zO7vvluMoy7JotVq966aD1+uhWrUL6J1F3e/3k0wm8Xg8eL1e\nLMsiFovddBTz2GNf49ixo3i9PpaXl7l4cY6DBw/d9tivOzbDovAnORpP1EGE6Ifj+B+8MnYcmxln\nbOZKodFsNtne3gZsEna57OYTn1DJ5QRiMdtjJpGwWFlJ0m63UBQX/f0DeL1uDEOn223R7Xa4/v7x\n0u4ng4MJlpcXCQZDTpfy+jGSha1W3cPrDXvfyisMVXX1fnB7eL2g2WySyWRQFBlJssdHnU6HQqHA\nwsI8mUyadDrFuXPnewTMALIsUa/X2dpKsra26ryWa22VSreLJ97fyxgCn89Ho9HgTW96C92uhixL\njsW+222HGfb1RTBNm9+wtrZCtVplZmYGYX2DaLOJIMt0XC5MQXQyhXRdZ3p6Go/H5kpEIn14PF4s\ny14M7r//AQAUReWHfui9/OIv/iceesiOZriSGF11dpPpdJrt7W0KhRwXLlwgm02jqiqSZI93bH8Y\n+9q1F/mbn1NjYhLL50fM5xF7vJSbIR7v5+DBQ4RCEWRZxuVy43K5egnaV9xed8IxDxw4wOHDRzhw\n4IBTSPp8Pur1OtF4DC3SRVc1podnrnqu3a0YGBjA5XKh6zrFYhFZFnn++edZXS3z1a/C5z+fcdLM\ndzA6Okaj0aRatUeG/f0DdDod+vsHmJ6e4dSpe5mZmWHfvrtIJBLUalUikT40TXOOzfafub2zbqNR\np9vt4vV6cblcBIPBXkzB7dHXF8XlUmk0mjQaTaampp0iTBRFpqenabc7dDodotHoTYnArVaLSCTk\n+CxNT09TLBbv6Biuhtk2yX4qTeOJOoJLoP9jg7uKmWvRbrcpFvNEo31Eo32cPZvmv/wXkVxOYHzc\n5Jd/uUMiYXcHwfYl8nq9zM3NUanUURQ3IODxuGi3W04nvFKpEI+/NN6jJEnMzOxzDBRfKnH7Wui6\nfp2dx8uFPafgK3jDdmheLeyQxXZj78p7pVEqlVhYmEfXdXw+H0eOHEWSJGq1KvPz80iSyMLCIoGA\nn3i8n0wmQzaboVwuEQrZN/dms8mRI8dQVYVSqUQul0WSJEol25AtYOjEMxmmDYuzoRCdngy83W7T\nbrc4f/4sbrcLVQ0gCCLJZNJZXIeHRzh27Dirq8tEo3HC4RBzX/0q72g0uWQajE9NM1/IIwm2sZkk\niYTDYR555K1ks1kymRRTUzP09w+QzWbYt28/lmVx4sQ9HDp02Mk4+va3v0m93iASiXD8+AmCwSCb\nmyV03eDSpUu4XCouV4Dt7RSlUoHp6VmGh0cwDINkcgtRlDBN20iuv/8WTrGiiH7wIMozTyNfuEB3\n4MadnKth77iv8GnsTlAHr/f2t6VAIEC322Ultcp2bhvLB1bPe2VHMu52u3umiAYul51H5Ha7OX/+\nMk8/7abVElha8rG9XaGvL4mud5EkmZGRUSecUhTt4q5arVzzcUWneEgkhlhYuITb7aHb7ZDL5XnT\nmx6+o9HRlbBTG7crHHce4/V6e4VKjGq1giAEne7ajvTc5XI5Ha1bQZIkx7fmpcKoGmQ/laa72kH0\nS/T/zACuqVtzWMrlspPevroq8PjjQ1SrBY4d6+cnf7LLzhSn2+2iqgrtdptMxv4NZTJpqtUqk5OT\n6HqH6ekpMpkMnY7J+PjE9zQCEkXRUae9HNja2uqNI20bg5mZ2ZfZrmNv5LSDvYLmFYY9ctrr0Lza\nmJ+/hKIoyLKErmssLi5w110H2N7exuv1sLy8RD6fZWNjg4mJBqZpoSgKrVb7KoL4ILrexeWyXWB3\nxgcej4e+vj6OnjuLz+XikR/6Pv4yGOTMmWcplUp4vT4OHLBlzt1uB7/fz5EjRxkZGWNra4NQKMzh\nw0d5/PHHGRubwOVyIS0tImxu4o8PkHjTfQihEJmnnkJRZKanYxw9ejder5eRkRFGRkYoFPKUSiUg\nwcTEFJqm4Xa7GR8fdxbSxx77Orqu4fG4KRTyvPDC87z1rW8jFotz7tw5xytlRwIcDoeJxfpptVqA\nxZvf/GanUzMyMnrbm7B26DDKM0+jzF2g+7a33/Kx5bKAYShA2xmv2G7Idx5mGY1G2TQ2aHibHIoe\nZmRklHK5iKLITExM0mw2WV1doVyuoKoKfX195PMVFhclarUWMIQsK5w9m+XQIduJ2TAMVldXmZqa\notvtsri4gK7rPY6SjsfjQZZlTNNkaWmJiYkJhoaGaDZt7o4giExMTNHtapRKpRvyg65GMBhke3sT\nl0tBEOwcq1uZNu5gbGycQqFAu90GBHw+f0+q3WVzc4PR0bE7Po+2kWKHVGrLcVBqAcEAACAASURB\nVHceH7eff60k+EbQchrZ30yjZzWkmMzAzyZQBm8f7WCr2QwuXVJ47DEJTety6pTIT/5kl6tpPvbx\nNRz1X6PRIBgM0mq1aLfbPZ6QTCKR6I0KTUzTcPhWryWazSbtdsvxNrODabf21FCvEPYKmlcYiqI6\nrejr8QY2DHgFYZommqY7u/+rrfUBisUCqdQ29XoNyxJ6BGA3kYitEFIUtde5cKGqLkZGRnn++TMI\ngt06DoeDrFy+hPHY15E1jcTRYwx1O8jyfaTTaWq1imOaJggioZBNEj158iTHjh1F100GBwep1xvM\nz19CXl5CuDiHS9N4dnISMRJhaDDBf/7P/xcrK8uAfeO/Wi4ejcYcqwGAdDrF4uIiqdQWHo+X2dl9\nlEoFR1Vjj0Hs9OSBgUHuu89LNpt1iu1UKoWiyI4c+OTJe1609FU/dBjATgrvdOAGxYlhGCwsrPCJ\nT6homsp//I8dOp0GgmBLnl+sSiTdTNufyTdIKBTaZfy3vb1FIBDoef3kyWbzvPBCP6mUjt/v4p57\nujz2mE6xOMHOrdAe7dlGcpcuXUSSJBqNOqVSiXA4jM/nY2FhgZGREUqlIoVCjlOn7mNmZoaZmRnW\n11eRJFttU6mUe2qy68cftVqNarWCoijMzu4jldrCNA1GR0d3ZT/dCjvKm8XFeacoVBSVWu0mxo+3\nwLFjx3nyySdZXl7nnntOEon03f5JQHejQ/a30hgVA2VMZeDjg0ihO1tW4vF+Pve5JGtrYSzLZGKi\nwQc+MHTd6CSRSLC0dJlGo4EkKYTDESRJQhQFJ0JDkmREUeqRhTW63RaSpCDL6svaDXmxOU6a1nWK\ndLswbu2KotjDy4u9guYVhsu116F5tWFzVa60u3XdNp8DGBoa4uzZF4hE+sjl8vj9AWq1KuFwhKGh\nIaanpzl79gVEUWR4eIh9+/Y7JOJMJoPf7yedThHY3sIwDVYiEZ49c4apqUkikQjZbAaXy025bI+l\ndrxYDh8+zPz8vOOcm8mkOH78JOqzT5M/+wKVdoeH3/tetLsOORLQwcEE8Xh/z/DO64Q5djod1tfX\nsCyLkZFRPB4Pi4uLzo2zWq3wj//4dzQajV6oYAyfz79roQwGgzzyyKM8//wZms0mg4ODTE7afAHT\nNNnYWHeURXeKHfm2tLGOvDCPfoOk6aWlBRRFJhBQsCyDz37Ww6/92qxjrHfb97CsXiyDgizLZBp2\nQZPwXp+hs7P42GGSHr797XUqlQFmZw/yznfWOXRojPX1EKXSIv/4jy7e9a4OLteVboQ9/vKwvm5n\nXqXTaRYX5+l0NMD2dQGBfD7njOPa7Q7hsN3h83g81Os1p6ApFou0Wi10XUfXNfx+P91ul2Rys9cR\nkW7or3J7fG8L5OrqSk/aH6JWs7O+7qSgaV9qkf3tDFbbxH2Xh/hHBxA9d3b8hgF/+qcq3/3uDKZZ\n40d+xOD7vz9008ePjo7R19dHJpPH5/NjGAamae4yGLQNJO1gS01rYxiakwklSS/vUnenRZLfHyCT\nSaPrGvl8nm63iyzLhMPhXYGo3wtef2GZrx32CppXGIqyp3J6LRAKhbhwwU5TP3jwoMMlCASCjI2N\n02o1aTRaVCpl8vkCsqxy7NjdDA8PMzo6Sr1e5+LFOS5dusSRI0c4dOgwoVCYdruNoemI//OfOCvL\nBA4coFTK89hjqzz44APIskIul6TRqCNJMvfeex/T0zO02x00rYui2F0PVXWR/cvP8da5CxCLc/rh\nN1GbnUVC6uUuNdF1u8t09Txf13Wee+5ZZ0eey2U5cuSYQ2rWdZ1Gw44KCASCVKu2EioYDPKmNz28\n6xwNDw8zPDxMo1Hn2Wefdf5fFMVbdBVvDf3wYaSNdVu+fU1BY1kWly9fplarEgwGyWYHKJdV5ucl\nRkeDeDy37gh1u10WFuYRBGi3Tfz+BKmGTRhVWioLC/PIssLExASiKPY+fwW3283ZswbN5gH8/hHe\n854OHo8FGHz0oy1+4zcSXLy4Trls8Y53tJmdvTIOWFi4TL3ewLKsXvyFSbvdodFosL6+ztCQPba6\n+vsxDINWq9W7xppMTEySSqWc8V8yuUkgEMDv96MoCo1GrVfo3nhEcrsFKx6Pk8lkaDTqveL0xaVi\nr6wsO89xu92sr6+xf/9dt3xO4+k6+T/KgWHhPeUj9u/6EZQ7W+Tbbfjd31W5cEHE5bL4yEfg5Mnb\njRotvF4fExO2n44kyczO3sCxG1var6pep1ujaW1MU0aWXa961IwkSYyPT/Lkk0/g8XgIBIKEQiHS\n6fTLVtDsYC9GZ6+gecVhj5z2fGheTaytrVIsFhgfH8OyLOr1+q4f++joGOl0ilAoSCq1RSQSJhQK\n8NRTT/LDP/xeyuUyX/7ylwiHQ2iaxvr6Ku9+9w/2rPiBlQX+LpPGPzXFUqmE2+1hcDDO+fPnUBSF\nAwcOMjU1iWmaTE5OEY/HKZVKDvFS0zRyX/8alTPP0VRV3P/bexGOHsIolRyCqCwrTtGy449jmjp2\nRyDfS6G2jdoymTTJ5AaFQpFOp8329jbHj59gcnIKr9dLu93hkUfedlOi5NVyX7ALh6uNxF4MtENH\ncH35S8gXLlz3t7m5OVKpFJFIhOnpGoVCg1hsiM9/fh/vf/8WAwNxR7ZdrVZpNhtYFvT39yNJEpub\nm/h8PubnJR5/XKVQLGL96zTdehfN36Xr79Jut7lw4RxHj97N4OAgkiTy3e92ePJJL6Ojw3z/93fp\n7zepVu1Mo0TC5Jd+SeSTnzzE2prB3/6tyMc/3iIQsAgGgyiKC5/P9hOSZQmXy0e320HXDTqdCqHQ\nQfr6+npp2ks0GnXW1lYRRbG3C4+ytLQE2K9nWeDzeWm1mkDU+X5vtBiZpsnq6iqdTgOAmZm7bijn\n3vH2sSwv/f0DGIbBxsb6DU0D7wSieOuFsfq1nmGeBYG3BYn8SPSOF9NKBT75SZX1dRGvt8GP/dgW\nk5MeUqk2fn8QyzKpVqsOv6u/v3/X8z0ezx35gu3u1nQwDL3nAfXyd2tuB7vbOuh0WO3je1UP4Q2D\nvYLmFYbL5eqZg+3h1UKlUtnFn2k2m7sWjeHhYTweD/Pzl9i/f79zoymVyjSbTc6de4Fw2F5YFUUh\nl8vx2GNfJ5FIMDY2RjWVJSTJWG5PL0vJlh3H4/1YFszMzPTeW3S++0gkQiAQYHFxgYVvfB22tvCJ\nIpenpnBVy0TmLjIzM02z2UGWZQ4dOuz4oTzzzNOkUimazQarq8uEw334fD6q1QqaNkCj0cTttosV\n2/5+nFLJHm/4/X4mJ6dvqfoQRZHjx0+wtLSIYZiMj4/fWtF0CxiTk1g+H2I+h5jNYPZex7IsCoU8\n8XiMVss2ARwZgUol1uMxhSgWi/j9IarVKtvbSacrsrS0yPDwCJubDZ5/vo/tbbvos+QWHaOBq6sS\n9oWdz9JoNJw8o0wmwVe/6kEQ2hw7Ns/YmJdWq4uqqk4RF41a/OIvNvnUpzxsbkr8+q97+ZmfsRPC\nT526l62tJKIocPr0abxeiQceeBPNZhNJkjl82OYNpdO25N3OpbJotZqEw/Z3vrGxQSaTJhgM4vf7\ncLvdNBqNXrfH9iq6UUGwsbGO3+9FUQRM02RtbeWmMRSaphEK2edAkiTq9Tvn0fT1xZzk70ajQSBw\nYzdjy7Io/22J6pd3G+bdaTGTSgn81m+p5PMC8bjF+9+fZv/+nessyObmBoqiOgTaZrPp5E7dwtro\nlrC7NZ6XsVvz0hRFPp8dtbHjHL8jkd/Dy4u9guYVhu0UvDdyujle/q2Koqi7LPJlWbru5tXX10d/\n/6DDb7Is2/L+/PlzLC0tOS6vzWaTjY01ut1u7wZbhmade30+nu5qhAcjjk/M+Phkbzduo9vtEo/H\nuXjxIsVijsXFJdaeeAIpmyauqqxG+iikU1ipbVwuN81mgwceeJhqtcrWVhKfbz+FQp6trU3K5Qqi\nKJJKpXjhhRd6wZYCfX1RTp48xfb2Nrquk0gknMTuHb+aqxOkr0W73ebcuXMAHD58mGw2Q7VaQ9P0\nO1LbXAdRRD9wEOXZZ2z59lvtBUsQBFRVRRAk+vv70XUdv7/JCy/YHIjPf97DRz5iJxVvb2/R6XQR\nRQFRlGi12pw5I/Od71iYZgu3249lWbgiJSyXSMQddRQzrZbtkCxJEhsbIn/wBx5MU+AHfkDkXe8a\npVwuEQyGnEVzB4GAxc/9XJPf/V0PCwsyv/EbXn74h2VmZiSGhoYplYocPHgIWVZotZr4fF4O9UjQ\nnY6tEFIUlb6+PhRFxe22FVO2SWOeWCyKZdmu1J1Oh/HxcSRJJBqNEQj4AJNrYSt1RAzDPn9Xe/Tc\nDPaI0SYcBwJBBgdv/t3v4Pjx4ywsLFAqFQmHQxw4cPi6x1iGReHPrjLM+1Ac/0N3nhS+tCTwqU+p\nNBoCk5MmH/tYl3p992+y2WwxMnKlM2hzn+p3HKR5M7weujWjo2Nks1mazSaBQJCBgZe2Ybgx9mTb\nO5B+9Vd/9Vdv9sdmc6+z8L1ifn6edrvJsWPX2sGbgPASSYD/0vDynotQKEQmk6HVamGaFvv2XenC\ndLtdvv3tb/D006dptZpks1ksy+rFDozQ399PMBjk7NmzRKN9LC4uomkak5NTWJZJvd7AlcsSLZWI\nz8xQDIR67ry298vdd9+NaRqoqsq+fft5/vnnWFiYZ35+nsLKMmKxgKUopIMhiqb9uW1HYjfpdBpB\nEAkE/LTbbXK5vO1PMzeHIAgsLS2xsbFOs9nE5XL1EqRTtFoNZ7GzC4Ug4+MT3HvvfbfMDup0Onzl\nK19Elm3J7De+8RiDgwlUVaHT6dBo1JFlic3NJPV6jWDwDnfjnQ7K2RcQLAvtvvtJJpO9iAZ7jFKr\n1dA0jVgsyuRkgvV1F9VqmenpGENDKuvrawQCfprNJiBz7pzGpUs+JEmgv7+BJNXZ2EgT3Zek7l3m\nyPhRvBU/ly9vcu5cl0bDRTIZ4n/8jyitlsh992n823/b6Rkc+m+a8aMocM89OqmUxOamxKVLMWKx\nHMGg5hgAFosFTNOg3bbHcvYobINgMNDL7ioTi8XY3NwkGo2Sy2Xx+Xy9fCCLRqNBKBRhYCBBLBbv\nEbktdtxnrz6/lUoFt9uFaRq979bcpWwDuzNjB2FKbG0lKZdLmKbJ4GDCMXrc6d7dCrY6zEJRXI6D\nsw0Lrdmh9Psl2mfatmHeRwfx3XNnSiyAM2dEPv1pF+22wLFjdjHj89FTLYlIkuy4WAMOub3TaaMo\nKl6vF13XEASQ5ZcWOgl2x1SS5F5xaGCausNdutNujWVZGIbmvNaLgc/nIxwO7yIyvxwwDL0XUKo4\nPkb/knnCPt/N+VZ7HZpXGKq6l+X0akNVVe6555SjKLoap0+fplyu4PP5ME0Tr9fD0aN3Uy5X2Nnp\n+P1+RkfHSKVsJ12/38/m5kYvdd3icCTKuXKZfC6HOxpn375jhMNBBgeH8HptHsPy8jJPPfUEp08/\nRTgcxuxqKOUyDcA3MkpF12im0j0VlA9VVWi1WmSzafr7+3u70xqCIJLNZsjn8zSbTafoazZblEpF\nPB4P3W4Xv98mwfb393P06N1MT0/fNLNnBxcuXCAS6XPOkc/nJZncZGZmFlmWyeWybG5u4nK5MAyD\nQqHI8ePHb3v+r5ZvL8zNUaxVURSZbrfL2NgYsVicQCCALMsUCnn+4i8sYIo//EMXJ0/WiEZjZLO2\neqlQaLO93cYwtnn4YZG+PovPfraG37+PyMAFUhmdgbuGOP/EEIuLIwiCTKEg89xzOQRhjH37dH70\nRxtsbaWwLDvB+2ouw7VQFPj3/77FZz4Dp0+v8Fd/pfHggyVmZy2SSZvDo6oqsixz/vw5JiennfFk\nX59dwDSbLR544KFeDpDc43HV8Hp9GIbZU3ndvrsxPDzK9naSTsf2BRoeHuf8+fO917KdhXfymwYH\nB4lGY/h8Pjwer/Pd1+sNwuFbk08ty2JxcYFQyC5YMxnb6TkUCmNUDQq/VUBf05GD6h0Z5l2Nxx6T\n+NznFCwL3vxmgw98QHM8ZgYHB8lms9RqdiEzO7uPQqFAsVgCLFTVxdDQTifj5YkbsLuXKqIooWkd\nTFOn03nx3ZrXIwfm9XhMrzb2CppXGHb0wV5Bc3u8/FuKG3ma2D4zivP3TqfDysoygiDgdrvxeLx0\nu1263S79/QN0ux2azSb1eg3DMNm/fz/f/Pa3sBSZVKtFRO+ysbHO+fNlhoaG8fl85PMF1taWyWaz\n1Os1KpUKejaDyzCoGAaS18dwIIBpWtRqVbxeP52ObRImCCIrK8skEgk8Hh/PP/8cJ07cw7e+9c1e\ngKGBqroQBKtn8GYhy6qzq33HO951WzO3Hew4xO6cJsuydilt8vm80xHYcVlutVq3dWG1gkFHvl25\ncA6lxylSVZVqtcrs7D7n/Wq1Gj/6ozp/+qcbmOYw3/hGiEcemaDdbtNqNZHlAuVyGZdLp1TyIQgy\niiKgKG2aFKmU3XzmE3FihkwgcGX3PjVl8OijLe6+u8va2qLTXUomNxkZGb1lUSNJ8MADF3G5fLzw\ngptnnknTanUYHFSp1aoIgkg8HqNSqfQ6V/aO2+/3IQgDxONxRyLv8/lYWVnCsixyuTxut5upqZmb\nZDXtXpFcLpXZ2X10Ok0MQ+f8+YsYhp0cvrKyTH9/v8PXSqfTxONx2u22E5PRbDavI9XeCLVaDZfr\nCqckEAhQqVTwdn1kfzOFltKQYwqDvzB0R4Z5YHcI/uZvZL7yFftzvuc9Ou9+t37donvt8cVisZfV\npfdm2OHWGIaGrnd7Mm+p16G6VeH0ehzvvB6P6bXBXkHzCkNVlVsUNP+C+4KvU0QiYVKpFKpqGx6e\nOXOmR8ZtUqvVmZyc6rVwDZJJ29V3p30bjcYIhcLULDBFEcnjplyuUCyW6O/vZ2lpkWazwdraGgMD\n/TSbLQzDpJTNIJYr5LodYlMzaLrG8vIy+/fv47vf/S6plJ38HY1GWViYZ9++fWxsrBONxnqScokT\nJ07y9NOnURSVZrNBLpfrWbTHGRwcxDQNDh06fMfFDMDRo0f54hf/wVncZdmWiO+owhKJxDWWA9Yd\nG9858u31dYyZqzOWrtx019bWsCwTrzfP7KyXSmWFL3whxoMPDjIzcxDL0tjYWGf/fo2VFR8LCxqB\nQAuAWq3F5WeLtCyDMWsKw1DRtAJut4sf+7E6brfCzIxOsVjG4/E67xsKhSgWC7csaAAsy+ChhzQ8\nHvjOd+DCBYn19SVmZkIoikI6nUEQYHl5kY2NDWZmZgiFQpimucvvR5IkZmf30+nYZO/bdc12w+bN\nbG5u9hLeNxgbsx18vV4vzWYDwzCp1apcvHiBwcFEr/iuIwgQjcZ7aqvILUcqqqqi6/pVn91CS2tk\nPr+NXtZRRhTiH+9Hid1ZMaPr8JnPKDz1lIQowoc+pPHQQ7f3GHq1caVbI/fIwgadThNFcSGK8p4M\n+n9B7BU0rzBu7RS8h1cbhw8fodvVyGazJJObHDhwgE6nQyDg7+X+6AQCATqdDqZpUijkSSSGSCQS\nRKMx6vUaptZFFUQM08I0dERRJJtNI4q2h4wk2URWUbR32VZqGz8wODzM7P33k06n6HQ6PPPM04RC\nIVRVIZPJAhCJ9HH+/Hnuv/9BVNVFs9lAlmW2tpIkEoN0Ol0sy+LBBx+iWCzSbNYJh0MMD4/w9rd/\n3w0/s2VZVKtVgF1OuqIo8u53/yCXLl0E4K1vteMKarUaPp/P8bzZ2fEPDibuOJpAO3gY15e/xL5s\nljOtNpIkYprWrgTnTqcNQKvV5PDhEt/4hkE4PMV//a9VUqlJ4nGLwcE5RkfjXLiQQ9MktrczNJst\nItE6cb9IsevBbQwgKz4MQ+aDH8zS1xdgaGgIAFmWMQwdUJ1zcSc7WUWxu1/j4xkymRpzc1Xc7lnS\n6Q0iEQ3LquF2e5id3YffH2B5eYmRkVEikQhra6v09UV38Zdudd52VFGK4rnOnXlpySbrZjIZarUa\na2trDA4mEEWhl0BusbS0SKNRJ5XaJplM0tcXZWJiHI/HhSgKt7Xal2WZcrlIKpXC43HjLrsJfCGA\n0TVw3eUh9ON+pMCdFWLNJvzO76hcuiTicsFP/VSXw4dvT2Z+LSGK4jXdmg6iqN9Bt2YPrzfsFTSv\nMOwsp72R02sNwzDodNp4vT7e8pZHAJtPs76+RjabQVEURFGk1WoTDAaZnJzsOXwajIyMMDCQYGpq\nirm5OfqHhimkU3jTacrBEMM9G3y32+M482pal0ZDx6fpDEsSuqJQDkfIZrNUqzWq1SqmaWFZsLW1\njd/vQ9M0Op0OoiiwublJOBxiaGiIUqlIqVRkenqaqakZcrkczWaDRCLB933f999yJ2lZFnNzF5wd\nuKIoHDx4aFcq845ap91us7q66uRfxWJx7rvvfvJ5e1RyrTLoRuc4ldrGsiwGhofxeb0k6jXun5yk\n5vU5vJlWq0WxWKRctqMBslmbwO1ydcnl/plO515cLoFMRmBtTcXt9mAYCvX6GUTRRSIxiCbk0SWT\nRx45RO2bWXK5Sd7znjBHjuyWwwaDQQqFQm98pdBoNJiammZlZRldt4vRsbHx6wqJ6elZvv71ryEI\nFgcOuNH1CsWiG8OYwucLIUmrSJJEIBBAURSGhobIZDKOeiWTSSOKAn7/rbky7XabjY1VVFWh2bST\nsfv6IrTbbUKhCKVSmWKxSCwWw+32sLy8jGUJhEJBBgcHSaVSPPnkE733sfD5fCiKjNvtcQwAVfXW\nRejS0hJjY+N2IvnZItrfaIiCgPeUj74Px9Cs1i2fv4NyGT7xCRfJpEAwaPHxj3cZH//eu9CvhhPu\n1d0aXe843Zodl+HXc7fm2vPzL5kQfDvsFTSvMHZ8B/bw2qFcLrO0tOj88GdnZwmHI8zMTPPUU4/T\n7dpdj0ajweHDQ4iijCwrDA+PEov1c++99zmvdfDgQURdI7G4gNJocNeBgzAxwdeef55yswHFAiOm\nSUXX0aemCT19mjGXm3Mzs7SwesoNGUmScblctFq20kNV1V4+jYgkiSQSg1iWhd/vx+v1Mjg4xP33\nP8DKyhJ+v59YLMaJEyd33WjT6TTdboeBgUGnI2CriwRHtbJTQAzcIA17e3ubYPDKApzL5ZyR1u1g\nmiaXLs3h9foQBIHLi4ucmN2H7+wLeOfnkd/6NsBWtmxubhAKhejv7+fJJ5/oufm6OHDAx5NPbtBs\nWliWgct1FEmaotOZx7I6KEoQ0wzR6awTHW1hCFUuPd7BVxKJxUweffTGndDJyUmq1Sq6rjM0NMza\nml20qao9QllbW2Xfvt2us61Wi6GhhKMQUhSVra0W6+tjrK42KJe7vPOd47RaLZrNBtlsbtd58vv9\nlMuV2xY0mUy6VyhalMtVDEMjl8siCCLpdJpkchO/34coCoRCIUZGhsnnSxw6dBDTtD2KEokE8Xi8\n50ass76+5pjPNRoNxsdvnLit63pPJWUHkGpzGsIT0JU6BB61DfMsy4Qu3K6rtbVle8wUiwKDg3Yx\nE4+/vCvrq1FUiKKIorgxDB1d7/SKmyvdmjsJ63yt8Ho8plcbewXNK4w9p+DXHuvra3g87l3/Dodt\nn5kDBw5RKBQol0tMTdk8iIGBAVot2zjt4MGDu15LkiQOHT+B+qMfwPOXf0H+C39D0dA5jkAXqFsm\nja7GmKpSLRQomRbpaB/TDzzI3cEgtVqNVqvJ5OQ0uq7z1FNPoSgquVy2t7sXiESivOUtj1CtVqlU\nKqiqbTY2PDxMIpFA07TrRhjnzp2lVqv1/Fc2OHHiJF6vF8PQd/E2JElC03RujOsXoJu52F6LbDaL\n2+25iljqJzk8wv6zL6BcnKPbK2jy+Zwz9vJ4PESjCWq1PjY3TfL5NBDG7fbh8UCrtcCHPjTJxYvH\nOX26giCoiGKGblfCH65RaEm0tjtI7QAjIyY35Nn2cPX4p9FoUC6Xep9XuKni6Grfl4GBAWS5SCSi\n8/d/76PT+Xd87Wtf4uGHW4iiQKfT2bUzto397oxzsvP4ndfx+Xy9Tp3tU5NKbdHtanS7Op1Ol9nZ\nWXRdZ3l5kW63g8vlYn19Hbfb3YtSaJLJpNE0jYcffmTXmHEHGxvrvaRuSCY3kS6M03zWjngIPBJy\n3H/vZLc/Py/y27+t0GwKTE+b/PRPd7kDEdfrFna3Run9VnZ3a/bw+sZeQfMKwx457XFoXkvYC9OV\nRd0w7IVKVV0EAgFnTGBZFoFAkOnp6du+ZvdND5NZXmZtYw23IKBrGiHD5NBddyHoOme//jUapono\nclM9foLSxjqTk1MEg0G8XtvNt1qtkEgMkk6niMVinD1rG+Z96EMfwe12s7S06HRWdnbc4v/P3nsH\nyXnfZ56fN3bOPd2Tc0AgQIIkSJGiRMpUsi3tOciyLK/2rrxr1/ms3dp4VXtVt+fbqw23W76zb8tb\n5T3rzluyJZmWHM5WIqnAJAaQBBEHwOTU0zl3v91vvD/engaGAEhIYoDFeaqmgJnp6fD22+/v+X2/\nz/d5RPE6MtNutymXy/3pI0VR2Nzc4NChw6TTg5w/f64vgtU0rT9l9HoEg0EajQZerxfbdseLb1UE\nLIrCvtK34zhY8/PwDZAvXwbDAMX1yeh2YXVVZnlZ4uLFNPV6llBIwDAcvF4VXQ8hCAKCoPPkkyrF\noojPF0AQLMrlTQTBx+JWjqLUxKkE8EgVzp6tYVluCrOu6+TzriZpaGiITqdDpVJBVRVSqTSlUmFf\n+6xYLO173rlcjlxulwsXLtDpdEilBhgaGubuu+/G4/Fw/LjI7/2eD007xuamycc+ZhMKhVheXqJe\nryOKrp/MzSz6Hcchk8lgWWZPE2Xi87mu06ZpIEliL/bBIZVKYlkGpVIJUZR6pKeD4+xNu7kEcnh4\nGMMwsG2bVCqFZVncd98DjIyMXPf45XIZ6OmpbKguVVh8+QKxUJzA+4Mct3ddSAAAIABJREFU+W8O\n3/Ju/9QpkT/8QxXThBMnLH7jNwx+yJB2wD2Hu90O4XDkhxROv30QBLdaY9smhuFWaw6qILc3DgjN\n2wyX0OxP277Vnc8B3hpEIlHq9RqKImOaFuGwu2NVVZWRkVF2drYB10xsL8TyTSFJbN5zL5w4QQfX\n4GyrWCT1U4/itW2qTzyOR5LY9ftQk3Gi3S7VaoVut8ORI0d7Rn1OPz16fX2V8fExxscn+9bzR44c\nvaGXzo1wswutqqocOXKU3d0MIDA1NX2TkWFIpdIIgtAzPJOYmbn1tO2BgdQ+YtDtdpk8chRrbAxp\nawvz7GVe6t7Fiy9OsL6+RijkxTQNNG2A+fkRIpFXEQSYnx/l6aeH2d3V0XWRbLaJLId7ZGmMQOAT\nNBo/YK0l0cVi0I7gC1axLIf/+B8zzM4ewzRXGBoKEgjYrKy8QiLhIxqN0Gq1WF1dIZlMUSoVez4/\n7mfx/Plz5HI5AoEA+Xyuv8DKstjzSmmSy+XQ9S7JZJJPfWqIL35RIZdzoxw8ni6yrBCLxYlEIvtI\np6uT2SQScX2CVlaW8ft9eDwKtm30zfFUVSaVSpHNZnsGfBFKpRLDw8NomsaDD76fnZ0dWq0G29vb\nvUk3gXq9hs/n62uC4vE4jUaDer1Kt9u9jgB3Oh1UVcUxHerfrOLf9JJmkJFfHCNwR/CWCcUTT0j8\n6Z+6HjMf+pDJZz9rcov8dx+y2V10vYuqelhbW2VkZPRNrQHeKQiCgCQp1/jWuNNatm3dcvXy7cet\nCd3fCzggNG8zDio07z6mp6fZ3t6m1WoRDvv3WfqPj48zMjKCaZr9C7+bsaOhqp6bLv7gVkts26JW\nq7K1tYVlWbz88imOra0i964vHQEUSSYQDzI1NYWu60xNTQP0qhACfr+fw4cP4zomS9c9xpvB7/cT\ni0VpNlu9MrnO2Jg73pvLZdF1g4GBgTfVc4BLTAYG3vRm18EwDObn56lWy9i2QzLpjgyXx45R/W6G\n7/+rZb479gAApjmOKD7F1JTJww9LnDhxhHD4fdTrh/jmN79FKrXJ0lKHcPgDWNZLWJaOxzNIu20y\nPR2g3Z6kK9ns1AXSkbvAAdvWWVkpcO7cdxkamkWS3PfSsiRsWySR8BIIOEANEEgmvUSjMUyzSq2W\nxefLo+sdzp49gySJVCpl0uk0fr8fWXazkQqFPHfd5ZowDg0FWFgIsLhY4ckn29x11y5TU1N0Ohrd\nbqcXZOpQqZR56aUXSSQS7O5usb29QTAYRJICgIPP53NF1Ok0ex2uo0fv5KWXXqRUqiDLIplMppfM\n7DA4mObyZfd8SyaTpFIDbGxsUCgUOXLkMPl8Hk3TGB8fxzB0tre3mJmZ3fdexeNx1i+vwdM2Ztag\nYTTx/pIPfURHr5TJ57PMzs7fdLF2HHjsMZnHH3c/G5/6lMHHP279SMZutm3TarX6ydMej4dCIf8j\nB2u+Xdir1pimG51g2xa6rqEo3luuYr5d+FFzrn4ScUBo3ma8sYbmoEzzTqGflH0DSJLU35W2223O\nnHmtPxU0OzvL0NDwDf9ucnKCCxcusLOzA8Dg4BD+eo2tx7/NEa+P85qGUa/jye4y/OBDgEtitra2\nyGQySJLI5OTUW2Ikdvz4XSwvL2MYXaamZvB6vayurvRaRwqbm5sMD4+86aTSD4u9KapOp9NfmPcW\nI8eBL567lw/WnmCye5ZDHzEZG1tC057H63VIpwdpNOqcOXOG4eFBrly53AuvdBgdrVAsfh1VDREI\npBFFgXi8zvHjXZY3RpjzjuFdFfk7H+7w138toSgZgkGFO+6wUZQdDGOYbtdLterQaGiUSmXq9Qid\njkS9niQW6yLLOpbVIRI5zMWLFzl5UiaVct+LarWCLMu9Fp+XWq3WJ7fhcIhSqcD73hfk4sWjLC5e\n5qMfjeHz2b2/rWLbbtXl0qVFQqEQjYbrDbOxscnc3Bx7xHUvo2l1dbXn6CuwubnO+PgY7XYbn89P\nrVZG13UEwUFV3bbdxMR4T1+TYXR0jGKx2He1HhsbJx6P0+12qNevD6mUmxLSH4sUykWICAz8ygC+\nIX/fcFJVVbLZ7A0zwAwDvvAFhVOnJCQJfu3XDN73vh/dY+ZGFcjrF+fbwzhOENxsMcsyewJhG11v\nI8tqP3bgdsB7ufp/QGjeZrjRBwcVmpvhdmu/raysAPQmRgx2drb55V/+FXK5HIZhkE6n+yO+oVCY\ne+65l2azic/nxSPJeP7sMRzHIfrIh3j41VeYrNXIjoyhKDLNZotAIMja2mrPzMzmwoXz3Hff/Xi9\n+4UHjuOwuLhIrVZFlhXm5+dvKO7cw9LSFbpdt7W5trbG/Pw87fbV5GTXwbjwlhOara0NHMfpa3Ty\n+TzJ5ADtdpvvfz/PqWoLzxDcO7zN3XN/SmR0jBdeKNJs2uRyu4TDMWRZYmJiHEVRyOXqXLqkIcsQ\ni4l4PD5EsYAohgmFvOh6G9OpIkoiicg41Woey4oSCLjBhz/3c1Osr6/j9+d7RoUFBEHC57PJZrcp\nFqc5dy6ILA8hSSqC4MOydHw+BUGgN+EmEolE2NnZYXh4GFmW6XQ6xOOJXuvLwXFsIhGBhx7q8NRT\nEq++qvDRj3ZxF10BxxEAyc3+8njxeFwtlGuE16TZXMHv9/daRQaVSplWSyMWi+P1+tD1LsPDI+zs\n7KCqHmzbpl6vk8vlKJWK1GpuO0mSZDStTTyeJJFI0mrV+xso10V6f8Vv6fkrXP6zRZrdJqHRMHd+\n7k5ytTwBcb8ZoGm6JOVaXVSrBb//+yqXL4t4vfBbv6Vz5MiP5zHjRkPQD3htNhu3VEl8t7B3OFzB\nt9DT1uhYltkz5Hs39D9vTSzETwIOCM3bDFX10O0eTDn9bYFtW6ytrfa/b7VafOMbf8Po6BiS5I7S\nHjt2rC/WVRSF2dlZMmureL7zTaxCnrQoIjabSN0u014vAb+fajDM6Og4W1tb+zxPZFmmUqkwNLQ/\nfXd1dZVqtdKLJ7A4f/4cDz74/p7GpcmlS5fQdR2fz8fAQKqXS+WSCtM0yWazNyCKbjVgdzeDqnoY\n+FF6S9eg3W6zu5tDksRr3IalXkL5LufOJQiEiwxNH6WRv0RldY2NchXbtvF4VHRdoFQqMjg4iKaZ\nrK0ZVKsh2m0Dj6eGJKl0OjqqahKPe6hUOmiaghzTXF+hdphs9jjj4waFQoNQaJhGo8vY2Bia1uml\njY+haX4uXGixuRlnayuAKA5RLtcZHHQzmgKBPMlkhN3dXQIBP7Zt4fP5CATcEXTDcFt2AwMDFIsF\nNE3jzjvvYmJiCr+/yZNPljl1KoMkNRgaiiCKEtPTcwiCSCQSJ5/fJR5PYBgGmuaSzGQyQaPRxDDc\nOACfz4fP56dQyBOLxalUKjhOgXg8TrlcYGJignK5xuzsHJZlYZpGv4J06dIlxsbGaTZrWJYboNpq\ntQgGQ7z//R/ov1/ZF3e58vVLDAwniQ/HkacVdLHL3Nwc586d68coVKtVJif3a8kqFTdgMpMRiEbd\nseyxsbdmJzI1NUU2m6Xb7RIOR68j7nvn8W1SAOlDkuR9mVC6rt121Zr3Gg4IzdsMRTkIp7wdYVlW\nfxrlWgwMDNBut/D73fBKVVWo1apMTk4C4Pd72d7e7l/8pY11Dj/1FKlnnqamdwmJIiNeL5w727/P\n9Jf+GN//8bs4Xi+hULBHKFxSY5omkcj1idjtdmufONM0XfGoqqpcunQJQRDweNyd+9LSEmNjV1tq\nbsaTRSQSpd1u4fV6aTabjI6O8Rd/8efYtoVlmSSTaT784Q/f0vEqFHLoutkPeNQ0jWx2l2AwwMbG\nOuFwmHg8gWU5eDwezp/30GzaJJPgm47T1mPEHJuWBIODaarVmlvJikax7UM89piHRmMMQXgVr7dF\nLmcQCIzT6TQQxTydzhUs6zj1eoVO9zIl3y5hLcXFLY2FhRm63SKy3OTcOYOTJyXS6WM8/7zNa6+1\nabdDQIhutwFcYmzsLMeP+4nHrZ7eaLqXo+VQq9UQBHeUe880r93WmJqaRlVVwuEIg4NDvWNsc/bs\nt7n7bj+rq2WKxRCDgw5TU1NsbKwzMzPLwsIClmXSbNaRJIWJiUlisSiKohCPx1heXmZycpxSyabV\naiNJEtVqmePHj3P27FkURWZoaAiv10u3m8et/ri6qT3fovHxcVqtFoODMzQadURRoFQq85GPfLzf\nzmmdanLh98+RPJ5ASIsEjvjw+rw9Mj3M2NhYzy/LYWJicp+QeHtb5D//Zz+1msDwsEtmEon9ZMY0\nTRqNOj6f/6Zp5jfDXszG3w7sb38JgoCqur41t0e15r2NA0LzNsPdYd/e1t+3B96ZvpOr+bhAq9UE\nYGRkdJ++Znh4hNHRMVqtNoqiEIlE+unD10IoFgn8P3+ItOq2qIZkiSG5VyGZP4Q1OYlYKKCcfgVz\n4RCO4hKYwcEhWq02u7sZRFFkbm6eQCCI4+zXIQQCwb6vDLgl7j2Ng67r+xacQMDf25G7bYNms8nc\n3Dw+n49arUa73WZoaJjTp1/F61X791ks5jh16qXe2LrDwED6htMlxWIRUZSIxdz7X1tbZWfHTZ72\neLyMj0+QyewgSe7im88bvPiiSCCgMDtr0PT6SXu9+AyDrCghSSLJZJJAYIbvf19me9uLKG4xMXGJ\no0cnGRwc47/+1yXa7TyTkyKRyAlWVpYplV5GVU+wrdZRjAZpaZRgUmJ9/W9otYI0GnG+/e1DbG4m\nWF11X6NlqQwNGUxNaVjWaYaHVVRVodHYYWfHRJZlDMMgGo0hywrve9+DZLNZgsEwkiSxvHyFqalp\ndF2nWCyiaRqSJJFOD/Lss0/T6WgMDZlksw6Vik2rZaNpbQRBYmtrk+XlKzSbDURRZmRkrOf6XEFV\nVRKJRC9HyCSRSGCabljp2Ng4wWCIdHqQWCxKLpeh2WwhigKdTpdSqUij0SAYdOM6FMVNarftq6Pc\npqlz6dIi0WiU8KUwla+UiFpR6rE6I/ePUKlUsB0bvz9Ao9EkHA4TjV6fA3bpksh/+k8hdF1gYcHm\n85/XCew3Y6Zer1MsFggEAtTrdQKB4DsSMHk7Ya9asyca1nUNSVKQZfVtrda83ujvdmrfvxs4IDQH\neE9hc3MDyzIJ9K7KmcxOz1b+6q7yoYc+wMWLF9H1Ln5/kHA40u/xt9saM6Ewwd/5D4iVCo7fj/7A\n+7ETCXx//jUwDYx77uFsOs36+jrmyDBHjx5lSrlqsjYzM/OmXjdTU1MYRpdKpYYsSxw5cqR/0fL5\nfH2SbNuuB8rk5BS7u7uAw8zMbJ+YRCKRfgnf9Ti5turj+p/sTZjk89kbusrquk406t6HZVm0262+\nWNYwTCTJRFVV7rjjDiRJ4i//0qDbjTM7W2N+PsHSZpmk7CDW8sw/OMMP8gWWLqtoK0cxjGFSqQFS\nqe/y/vcfQRQlSqVtxsdFcjkVVR1C0xzGx6dQ1Saq6qUZyRGIRJh2okjmKslklN3dNaCOadZZWprB\n71/g2DGDkydHice32N3N4jhDtFpNBEHEMExs2yYWC2OaVi+tOkW9Xu95w9QolUqYpokgCGia1vd5\n6XQ6vPLKqZ7+JdwLpMzTbndYXY2TTJao15uoqkIyOUAyOUCj0aBWqxMMhuh0unQ6GoVCgWPH7qRU\nyvcItkg0Gu9rSNLpNKdOvYCiyGhah0ql2hN+67TbbWzbplarEQgEkCSJcrlCs9lEURSmp6eJRqPU\nn62R/VaGAWmA2V+dZ2dym0zGdRS2bZujR48hy8oNycwLL0h84QsqhmFz330mv/7rNsoNvAIrlcq+\nKaW9qIa3DreHKPjNIAhCb+rJ7BEbo+cy7D2o1rxDOCA07xoEDqac3nm4C/B+59xOp7OP0ASDIe68\n867emLe7U89mXefV+WiMxO/9LkK9hjU9Q/Pz/wixVCL07/4NJa3NtxpNpqJRVpeuIAhuZeXFF18g\nGAwxMJDqP0axWKDdbhOLxfrC3WshCAILC4dv+BqOHDnKlStX0PUuwWCQ+fkFRFF8Uw+d+fkFvve9\n7/RSoR103dxnvHazIL69SRxRFNF1vdcmi6FpGrJHYae4jSVbLFYW2co3eaWhUZ2+wtaxPH9QrGB5\nLU62qhyvKbz09a/zmCpjGCIn5Ad58OQWH/hAgeeec5O8W60WiqLg8ZSIREKMjVWQJA+Fghdo0DUF\nwlERmQ6i2aDT6aLrReLxEJblwTBEPvlJgyNHVhkdHcD9nI33xdiBQJhyuYRluU6+2WyWdDpFPl8m\nmUxRrVYJBPwYhkEwGGJnZwuATqdNqbRXqYqjaRqJRIJ6vUq7rTEy4uPll3ep14e54w7wej37BLWB\nQID19XXuvfckxWKBRqOJaZqEw2HC4QCOYyMI+7UXrVabQ4eOYJpdzp49x8jISK+1oVMulwkEgj2X\n6QIDAwN0ux0CAT+WZTE8PIL2bAvzjIGhGiT+2wGC7w8RIcrrzK+vg+PAt74l8dWvKjiOw6OPdvnM\nZywU5caOeQdykf24Wq3RsSzjHavWHOCA0BzgPYZYLMbaWqVPYFx34P1TFdnsLqurK712oZsQPTQ0\nBLZN8D/8e4R6DXN+gdb/8HnwehHyOU7tbFFZXORRXef//hf/jNaDDzA+t0AikSQYDLOxsdEnNOvr\nq5TLFTweN/JgcnKaePzWp4/2qiE/LFKpNA8//CEuXryILMs8/PDC63x2Xh9y51DTa7S8Tc4tnaHr\ndKm0y2zvbKPEFEq1Eu1Gi5pYYzgxTHw7wdaWRFsysaUlam0bxa8Q8UTZjXnw/eAMnmAAaXKE+5If\n53Of8hCNQq1WJRDwsb6+jtfrRdcNWq02tu2atslyB8Oo0+2m8cRFqiUHoeWnGcjh8RiIYotAYIRa\nzWZqqonPt8nmpoyut5ienkYQBBKJBNVqtRdEquI4ruNyPB7HcRy8Xh+SJOI4rtg5Ho/j9ZoUCjlq\ntRpbW1skEknS6TS7uxkUxdNrAUrEYjE0rc2dd36Y8+e3WFnxk0yWcGMsYgiCQLvdxu/3USgUsCyT\naDRKs1lnfX2NiQl37NqyBFKp1D7CXa/XKJUKNJuug3Or1cLjCSMIKsFglEqlSiwWY2JioieqDZHP\n51EXZdpn2tiCTfKXXTJzK7Bt+MpXZL7zHfe8+PSnuzzyiIYg3Nz+1+v19l6fH13X39C76W87bjXL\nya3WuMGWhtF5G6s1B5via/GTe+b9LcHt4zb53kAikcC2LYrFIoIgcOTI0eucUd2F1XfN96vceecJ\n5IsXkNbXcKIx2v/9b4LHg/SNr/Ptf/OvObG5yTHTZHV8nI816jxx9ixbbY3a5GTPEdidmAoEAhQK\nRfx+9/69Xi+7u7s/FKH5cTA4OMTgoCvA1AyNK+uXaRpNqp0Kur/L9y58j1KnRLlTotypYF+j7XEc\nBxoOPtuPtCPRNJsQERgfmUTKi1ReFWitK3iw+JVHfgbRcRjwzvPahSP8zdq/Zt4fYNB0+MzMB5ma\nCRGJ2L2Rbw+pVIpms8nS0hqWFSYU+gDgpVp9gmTSQzgsumnZ+nkMs8XM4GEOjUzg91dptyWKxRob\nGx4GB1PIssTg4AiZjIiu73L4sOsj5KaVuw7NhmHwzDNPEwj4UFWVw4ePsLOzQygUxjAMfD4fgtBl\nYeEw7bbG8eN39RLbNWRZJpGIMzAwwOrqKuAwN7fA9naecNhLsRhmaKhJs1niwoUL+P1+hodHuPfe\n+3nttdMkkwm63Q6RSJRut8uzzz6DKIpYlsOZM6/yyCOP4vV6SSQSXLp0gWQyTqFQQFEU6vUmtg2l\nUoVMxqJa3WJgIEmhUCQYDJDJ7CJtiaxcWcHvCZD4mQSzP3XjqAtw/Xaq1RrgIMs+/uqvxnj1VQlZ\nhr//93XuucdA15031GakUune2HkLWZZvO1O8dxOiKKGq/negWnOwhsABoXmHcHCy3U5w3XBTN/yd\nbdv7WgXuz9x/lTOv4TgOS4cPU9/ZQSgWWfkf/zm/VCriBzZlGa8k4RMEDpdKLJsmq5ubHPnwR0mn\nB7h0aZF77rn3bX51b4xGu8HvP/1/sdvcpaW2kP3XXALK198+oARJeBPEvXF8ho/0QIpkZICgEkSx\nVOLhBKIocv78Zf7sqQBK5zRHj0nEfTGKxThfenyVleBXeHD3NJKqkEgO4w3YaB0NTWtRr9cxDIN4\nfISNjUEuXpxleNjG67WJRguMjo4yPDzIt75VRlHAjmnMx/3cNa1wbCyEZfmpVHykUiO8+GKdra1d\nFEXl61/fRtdHSKdVDl/TudtzZ/Z4PMzNzWLbDooi0+l0GR+fZGjI1dlUqzUSiSSxWIxisdiLznA9\npSRJ6hlmGoRCIYLBIKIoIood/P4ouVyXSiXO7GwAj8dHIOBnaGiEcDjcS+R2emncVVZXV3oxCB58\nPj+C4OMb3/gbZmfnEEWpN1pvk0zOsbFRIZPp0OmoBIPz1GobRKMzeDyjaNoK7XabYWWI8do4FW+F\nI794mOADQUyziyx7rltAO50OtVqNWCyKpsHXvmZw6lSFUCjBb/2WwaFDNltbGXS9gygq+Hz+myav\nx2JxYrH4m55/mqZRLheRJBnLskgmB66LZvhJw/5qjaut2ZuEkqQfbwm+XUfa3y0cEJoDvOfR6XRo\nNptsbm5gmgbZbJZYLEY4HMYwdIaHR8FxqL70Ek+1WmSbTeRTp9haWeJn6zX8vftJmibZToegz8cJ\n06RbqTCWzdIUBXw+P+12C8uyGBgYoFwu4/GodDrdW8+P+jFhWRYXL5+nrJXwKl6cljtiPZQcJu6N\n974S/X9j3hge6epis7u7i9e7f/HRNA3TNDh/PoCmycRiMqGQzNNP6zhqjaDzDf6n06+gBSLEDt0J\ns3PoiQStepPV1VVisRTFYornnx9lc7ON4xxhYqLCww9LQJFMpsOVKw6NRpBQSCY9e5ZsWyAkR2i3\n2wiCQCwWxzBEYJxyOYttB3rv6xKHDt110+MxMTFFLuf6n0Sjsb6QNRAIEghcNZpLJpNUKhUsq9Pz\npdEZH5/g/PlzSJLUn4ILBgM88ECav/5rm52dJpKUIZ0eZWenw8WLEpFIgnx+hnJ5G8NocOyYQTI5\ngN/vJZ/P4/F4cRzX6mFvPH5p6TJDQ2M880ycVmuESsVDOu1H0ywUJYDjBAmHg0SjaXKrWfw7PgQV\n4h9J4L/fDfncs+p/fbuj2Wz2JpPgr/5KoVJRSCTa/NN/qjMy4lAqlfD7fYTDQSRJodPpUqvV3tDg\n8c1QLpf6FUKAbDbLyMjNXbzh1ts8tzvcao2vX60xjA62Ld+QbB7gR8MBoTnAexpXrlxmd3eXnZ1t\nPB6VubkF5ubm2N7eYWQkRCQSIZVKU371ZXJ6l/LQIHbAj653OHznXXzr/vdx7PkfkLYs/MBcNstO\nOAyCwKFOhxePHuXovScBVywoSRKTk1OEwxFarSaTk/Ebjm2/HSgUCjRKDY7Jd/LK2ssoisrJyH2c\njN//hqRqb0EJhQKUSqWe5sih2WwQi8UolQKcOlVBkmSOHPGxslJDMlpMNH6AsnGeuaCf+slHqZ+4\nh6Yok4qEEEUPnU6Sra0FdN1B054jGq3zsY9N8oEPLFCv19B1MM0AL74YQFULzM0ZrHsayKqMR/Ag\nywqGoXLmzDinTg0iCIsYxiClUglJEkinbR5+2H/T1wWQTu+vOLzyyssUiwXAreSdOHE329tbPafn\nJqmUW90TBIFCIc/AwACBQABd1+l0NA4dSvC97xXIZDbodKZYWfGgaW1yOR1F8QJeHCeGaV4iGPTz\n4Q83WVm5giRJFIslyuUid999L81mA8uy6HQUvvzlHfJ5H6FQCNs+QaNRxLKqyLKJxzNJo7GJrZVo\nFVsU/UWkKZn0oSF8vj2jxRu3OwKBABcv5vn+95O02xAOa3z2swIjI+77res6oVAAy3Kdzv1+H/V6\n88ciNK9v794uydq3jh9v4ur6ao2JZVk/RrXmb8cE2DuFA0JzgJ9o6LrO008/jW1bHD9+fN/usNFo\nkM/nCQQCKIqKbTtks1mGh4dJJuPMzV3VHjRfe42Ax4MhSkiWhSVJOI6NPDJCxesl3WoBEHMcYrUa\n4F5qnh0Z7bcpFhYW+vcXj8f7o67vFEqlAj6fj3FlDH2ky1phjVdrrzDZniJYuNY7xLnmi/6/gYCP\nbtdPvV4FIBgMEgyG+NKXArTbOYaGzhMQm8QXnyFev0SQNkdHB6n/nX9AI5WiWCzi8SiUyz5efbWI\nx2ORTju0Ws9y+HCXUMhPp7PFE0+sce+9J3EcePbZWer1XRKJLMGQQrlZodwqYyshvn3K4Ny5DqLY\nwOsdQBDCOE4FGCUatfnIR1xB7dLSld4U2PQbLsYrKytoWot02m1H1moNXnrpBSYnp5BlmVAoRLVa\nI5VKo+t6Twysoaoqtm3j8/lIJBL8vb83wL/9t3XabR2PR8fnC7KwoDI2phMOOwSDDl/+8iArKxUe\necRPIpHg9OnTRCIRBgeH2dnZodGARsNiZ6fD1paEJI0wOxvg5ZdFGo0c6XQHxwlRrf4AyVJRVZOU\nP4UYlyiGS8wE5/q7/r3FUtf3xKlutWZ1NcB/+S8JPJ4K4+MOn/iEyMzM1am3UChErVYhGHSJUaVS\nJR5P/FjnoGVdTal2HOc969G1V62xLAPT1HvCYRlFOajW/Dg4IDQH+ImFaZr88R9/sZfRI7KysszP\n//wv9ElNp6P1QhVtPB4P3W4H27Z6Uy/7d/ZOOIRHFAlXylRXlsHvp9PpEJ6eoWnduLpSAuZ/+md+\nZN3MnpFbKBT6oTKYLMtic3MTp2ectqd78Hh8eDwa1WqZYf8IBSlP0Vvi8a1v8SnfL5JMvtFjuBlF\n8fgA8bi74AuCwOqqyPPPl5DFIj83mqX7N3+Nls8w5UiU3/8JxM99hlAwQKdQpVKpUK93EUULjydO\nNOphZGSN1147j2mqtNuuO68rng5y/ryH7e0u0aiHX//1B6l3d6l35HRwAAAgAElEQVQ/r5Pd8vD/\nvZTCsuokEm1GRq7woQ+ZZDJJvva1NKJY5GMf00mnB8hmc33CcfHiBU6evA/DcLOTJEkilUr3FxB3\n8b7aaopEQuRy+X1TO47jLsB7ZnaKotBqtUil0n0tyMSEzb/8lyk0rY3Ho9Ltdns6llcBCIej3H33\nBC+9pPPMM7skk9vcc889KIoHTbP40pfO4feHUVUdSRK57z6ZiYkXuXz5UUyzwNBQl3h8AEjRqcq0\nNxY5PHcHkSkfVmovjHSDTqeDoiiMjY0jihIej79v0//UUyZ/8ideHCfJPffE+LVfM5BlyGQy6HoX\nx4FYLIrX66NUKiHLKtFo/IbGiz8M0ulBcjk3LsO2bVKpNLlcDsdxSCaTt/2E1FupWREEAVlW98Un\ndLs/TrXmANJv//Zv//bNftluH1j2vxX4sz/7Mr/4i596Xars3s7kevv99x72euRvbfl5bW2NK1cu\n9WMG9mzsZ2ZmME2TpaUrbG9v0mq1exdSNwE6GAwxPz+/7/3yTs+y5fOTlmQqS1ewCwXGdrPcubvL\nTibD4V4w5LX4dirFyd/53evShG8ON2ROEAS2t7d7dvkShUIB27ZvObTvypXLeDwKoujmKrl+NW6b\nDGwikQidjsZwfBjN02artMmas8b9I/cjiwpu0J2ImwgtIggSgiAiCCKFQp7l5SVyuSwA1WqEy996\nhgfyX0XJfo9mp8J6NMiT4/8zY/f9I9JDFRYXVb797Rq2HaTRqOH1qhw6JDM83MayGhQK+R7JdCiX\ny3Q6XQQhwtNPe2i1WvzCL0jYtsSTL9VYa2/Q2laJWXcxN1fgAx/wMjlpcfz4NKpawrZn+dVfHeDk\nyUGKxSK2fZVsWpaFqrqj8n6/69dSKBT6lTI3CX2zv2iXy1UGBhKEw5H+Z7RcdpXThUKhN46t4TgO\n9XqNY8eO92/nRjq4ERM+nw9N0/D7fViWxdLSFbzeIsvLeWq1AnNzLvkWRS/PPTfK5maHdDrJxITN\nXXf5SCQMLKvO/feP89xzOtFoDY9HQTVNZuwytapGxVtHShvs7OzQ7XZZWDhEOBxGEARqtWr/NYii\nzDe/6eErX/Fg2w4f+1iHz33OQpIEisUi4NoY+Hw+qtWq6zQcDhGNxvotrDeCSxwvsrOzjaIo/Yyv\nPYiiSDgcJhgMEQyGWFtbw+v1IMsyu7s7RCLR6z4vjmNj2yaiKL3rBnWWZbqVWfmty2sSBBFJknt+\nTxa2bfZ9n97sMWzbPTZ73jeO85PvFhwI3FxEfkAD3wEoitoPEryKA2O9txuuo+7VBc227X768Pb2\nFsFgkGPH7iST2UHTNB544EGGhoZveF9er5ejj3yI1sn7iH/yk4T+l39FUpaRRJHdoSH+wh+47m+0\nz/7qj7zjdKdqZDY3N5EkgZ2dHbxe3w0rNXsJ0OBecE1TB9wPvccj02rVgQEGB9MIgjs+PjCQQlU9\npJwhsvYXyehZvnDh/+U3j/8W0k0WjXq9zsbGej85euvSJY6f/yq/VH6OZSvDim5w6egg/vDDtC54\nePrpL/P00y0kKcTc3B0kEiWazSrz84GeS/EAwWAQj8fDzs42oihSrVY5dOgoy8sxDCNDMDjOyy9r\nlMseKv4KBCymxtJ85mSjdx8mhmFw5cplqtUqn/pUsEdQBPx+P/V6ra/TcBwHTWv3j6EsywiCg6Zp\n+Hw+BgeHaDZbbG1tADA+PsHk5GS/2lUoFPD7XdO9tbU1JicnSCQS/ffr9Qvxnj6nUCjg9bb7/08k\n3NTumZkapikBaVqtPN/73iatlonPF2F+PkMs5sGybGzbZmJignC4wN/9u2M89tgVIh6HkYpGJtuk\nJNaIqnM0mxper5d6vdb3VpJluZ/C7jjw5S+7HjOy7PDpT7f54Ac1dN3VdXS7nX0VKr/fFbK7Ladb\nW7x/8IPnSKdThEIBlpYuYxjGTXOaqtUKgYC//xmJxxPkcjcSCd9OOpG357lcrdbIPbGwSbe7lwkl\nH2x6bxEHhOYdgMfjuQGhOcDr8VZ78gwPDzMxMcXGxhqiKOH1+njoITd92LadnkDPDQzc2NhgdzeD\nIAj7dDbXQhRFMpltnM1NtFCInVaLuwSBnz50vaOv/qGfQvvlX7nu56ZpcuXK5X6cwOTk9A0fSxCg\nVCr3/WoCATcl2w2yvFbbsp8Uu2vq6wP0JNxqi0A6PXLdMf5n4/+c//3Uv+d88RyPXfkKn1n47A3f\nh2q1gqp6cCwL59VXqL/yMqf0DvpwkR9YCud8g9xp3U1jV2Ro6Azx+BySlMKyNpidrRAItAmFjnDh\nwnnOnTtHLBbF7w/g9XoIhUI0Gg3C4QibmxUsK0OlYmFZs5RKl0gkLhMOXkD0NviZDz3EmC/G9naT\n5eWl3k5/lbGxsZ5pYYnZ2TnGxsZot1tUKhVEUWR2do5OR9v3mhxn//TM7OxsP3h0D9PT09i2ja53\n+5WOQMBPrVbv+xW90XkbDAbJZjP9hdswDAQBJiY8rK2Z7O6G0LQWplkjlRrmF35BIpOp93KaZGTZ\nTTMXRZmvfMWL0rkf7Rt/zletMxwdP8T4+49RaxSp1x2OHBmiWCxQKBRIpVL9nb7jwBe/qPDUU67H\nzG/8hsHdd4tYltrXcAiCQ7er4fG4r6ndbpNK3Xoie71eR1WVfuttZGSEra3NmxKa11cSDhZt9xqz\nX1vTRRTNnrbmViu9710cEJp3AG+cuO1we+w8fjLxiU98kkwmQ7fbZWJior+LTqdTLC0tEQgEWFtb\no1otE4lEWFtb6912EoBCIY+mtYlEYpimiVVvEP3e9xAkCTkUYqteZ0Ld76JqjYyiffozN3w+r712\nup8PtLOTAXgdqXFwHIdYLE4ms4OiRNja2uq1LVpMTIzegBgL/S9BgHR6hHw+1xNewtzc3BteDMNi\nhJ+L/zx/svjHfKfzJEnfAB+Z+Gj/97quU6/XqFarbLx8Ct+Vy9SLBeLhIGshkysPLWBbXka+fzcq\nArq4TTLpp9PJc/ToMH5/koEBm2RyjGKxwHPPPcddd92JqqpUKlWq1Q6pVIpEIoHfH2Fjw8K2Y4TD\nNppW5MMf1rn77nGe21qi1BEYjY4S8YbZ3raYmppE0zp4vW41wzB0QqEghUKeVCrNwsKhfa9V0zS2\ntjaIRKIYhtEjum+eDl2pVNjZ2aFareJqieJkMple1IB908oe0Kv+DJPP59jd3UVRFGZmZonHiywu\nNigUOr3nMszP/qxBOCxi24NIkpuaXqkUe1lTCyiGSeD0EzxWDGAn/jtE5SnmqysMDw8hCDIgYNsO\nlUoZVVWRJJnx8Un+6I8Unn1WQlHg85/XueMOG9iv4YjHY2SzWVqtNiASi0VRVbVX8XtzyLJ8nYfT\nG3GUWCzGysoyiqIgiiKlUpHx8cnrbvde81q5tlpjml1s26LbbSPLnn5r6ipup+rVu48DQvMOQFVV\ndN14t5/GexbDw9cvNoFAkLm5OQqFAprWZnJyql+xKRaLTExMsr6+RqvVRFVVNjbWUSWJwJNPIGhu\n+0AQBK6VA5vHjtP6tX/glkmuueiYptm/2Ldazd6u3kGWJcrlMhMTE1y9MNmATTqdpFodZm1tjVgs\nRrvdxjAMXnnldK/KJPSfw+sxMDBAMpnENM1+QvfNoOs6y8tLTEQm+KWFX+LPL3yVx85/hYQ3wd3p\ne1heXub06ZfpVmuYayvMN5rokkgxEuJ5bxP/0SlUK4H37CF80hqBQARN69Ju65imQCw2SiZTZmHh\nMNVqlVdffRW/30+32+1pLHw4DqiqQjwep1Kx0fUgtm3yyU/OEI1uEI+HaLdbOB4IKkHkrkK+nsMw\nzN50mtU3wKtUanQ6lzBNm5mZNpOTk/uOkc/nY3JymnK5jNfrY3TUnexyiWsHQXAT118/Tlws5kkm\nB5AkV9dw4cIFxsZGsSyH+fmFNx0/HhgY4MKF8wQCfkzT5IUXnicQ8JNKxdjZuUI2W+ZjH3sAx6mR\nyRjIssqxY4c5f/5c//n/4JnvsP30Nue7Y4wtbDM5+SyHD6fxegdQFCiVijSbPiYmJhgYSDE3N49l\nwRe+oPDiixIeD/zDf6hz+PD+yaJr/VH2BOR74917I9u3AreKJFCv1wkGg2xtbXH48NGb3l4QBGZm\nZsnlsti2w8TEVF/vdgC3WqMo3l4budsjNwfVmjfCgSj4HcDjj3+TkydPvi7Rdq9dcCAKfrcE0qqq\nEo3GqFar+6YKJElkaGiYtbXVfjVEUWTEJx7HXryIHI/T/fhPo12+xKxpIveqPo3/9X8DRYFea6HT\n6fD449/m8uVFFhcXURSZdruFJO3ppxy8Xk+/rF8ul1lfX6dQKFKrNZibW6BcdqeDAoEAqdQg3W4X\nQQBV9dBut1FVFcuyWF6+Qi6XpVQq4vV68Xg8bG1tsbq6zO5uhmaz1dd7XIt8Po8sS27ekS+B3+Pn\ncv4SZ8pnSOgJXn3uJYLlMr7LiwRUlY1GHWNujPUhGbxh2oUISvER2k0TUcwiyzaiqNNsVnEcgUol\nSyQSwjQtQqEQqqpy8eIi4JDP5/vhnJIkYVkWg4MxpqcH+PjHxzHNbRzHpFarIqgiS6XLKKLCmHeM\nQiFPqVRiaGgQ23YN2yqVSl946/N5kSQ3VTsc3h/+KUkSwWCwL1jN53OYponf70dRFLLZ3L6Retu2\n+wnSuq5TKLjHbGhoBFEUKJVKb5ouXa/XOXPmNIODgwSDwV4ERoHjx49RLA7h83Xw+XQGB32YpoHj\n0Bu11tD1LqYOL34/w/mKwfseWuXkSbDtIsGg1Au3VHvCcZcsHz9+F5Kk8gd/oHDqlITXC//4H+sc\nOnTjMWlBEPrCUne02sK2rV6Vz+797s0X0ZGRUdrtNo1Gi8OHj7zpdJ4gCASD7nTbzUihK3y1kCTl\nhxDYvz0wTQNwUJR3xt3YFXJLSJLcE0dbPZIpIAjiNcfmQBQMBxWadwSq6jmo0LzLaLfbFAo5PB7f\ndfbt09MzXLlyuUemHO6443jvN1fJlXTpEsqZMxxWvSx+9KfxrS5zqNXC27sIN3/z8zjsXU3crxde\neJZIJNi/CJ8/f5YHH3yQy5cvY1kWfn+A+flDgIRlmayurmIYJiAQCoXY2ckwOJhG1zUikUgvqFFm\ne9sVMUuSxPb2NpIkEgj4+2Rwa2uLZHKAZrPO+Pg44I6A7+xsXye4VFW1X4UCOBY/TrabZXH7Ihde\newLrSo2ux4dgWZQFkerCBNtRga3VJgFphpA5jdat89BDASRpmGKxSq02S7fbYXMTRkZcZ1vLsqhU\nyiQSCRKJGJVKBdt2KBQKiKLIzMwsmtZGFGWSSR/5fB6fz8vAQIpsNsvS9hU28puEhTDL5ZUeqVO5\ndGmRwcEhbNtmbGwcwzD6AY+a1sZ/A7H269HpXBXDutEI9LUnwL5pk1gsRqVS6repBEGg07l+wu31\nsG0bSbq6GFuWRaPRJJOpYtsiigKbm3EefTRCvV4nm3XNHpvNJmOjI+RfbrBZGuPEibPMz4+QSMgE\ngxa67prmdTpdNE1kZSXLBz94D9vbGf7iL6IsLY3h9cI/+SddZmfffKV7/Xi3ZbkE6PWtpDfC5ORb\n7Xz9E75C3wIE4cbVmoNKzX4cEJp3AKr6RhqaA7zdaDTqnD59uqcHMCgWi/vSqlOpVL+tEwgE+uLN\ngYEU5XIJX6OB9a1vMmE7CJEIh7/7JNJuBiQJ/e4TdH72Z7GHh4H9fjS2bWNZFmtraxiGQbPZxuMJ\n8NBDj+A4zr7dZr3eoFwu97J7REqlci888w5eeeUVqtUqut5FVd3dyfj4GOBOX62urjE9PbXvcfP5\nHKnU1byqZDJJNpu7jtC4KdQVms0mlUqJdrvDB4N3EltZ4o6AzWmnixgaYMsvU1QcMuUiQSdOVL0X\ntR3n2J0RDh8Osri4SCgUplotIUl1qlURr1elXm8xNOQnFAqRyezg8XgYHh4mFovR6XT7UQqhUBDH\nsYnHEywsHCKTyRAKuSRDlmUs2aJYLzByaJSEGKfVcitO3W6XVqvFo49+lGKx0PM4cUmm68D65i2M\n67O77OsqAZOTU2QyOz0zOGefWPZaonIjbG1t9nKbVtF1VxBcrzcwTR2fr87YmJf1dQtRbCBJA5RK\nxZ6RX5BWq8n6mXXEvIigL6KqCUxTw7J8xONpdnZWAYFgMEA2u4EgBEkk0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SgDA1HC4Qit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y717I8Pr6Gc6XztM0WtR3NB5/qcknV0Vc3UnEgQhHvvRj+D4+jazId+UQWW2L7q7hdF62Defv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\n1Tv+WQoF7xh7Ay0z1Go1yuUSggCjo2ksq02pVEIQBPx+P7ncTq/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/aOAU1TaXied2MQXF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\nSUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0xa132284c>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot four-corner embedding of the four instruments in all configs\n",
    "\n",
    "\n",
    "\n",
    "x = data['x_in'].T\n",
    "y = data['y'].astype(float)\n",
    "y /= y.max()\n",
    "\n",
    "# for idx, (cfg, az) in enumerate(zip(cfgs, [45, 60, 145, 130])):\n",
    "fig = plt.figure(figsize=(8, 8))\n",
    "ax = fig.gca(projection='3d')\n",
    "#     ax = fig.add_subplot(221 + idx, projection='3d')\n",
    "# ax.view_init(elev=20, azim=20)\n",
    "#     ax.set_title(\"{}\".format(cfg))\n",
    "# for i, c, m in zip(icodes, colors, markers):\n",
    "#     x = samples[cfg][mrg][i]\n",
    "#     a = 0.2 if i == 'else' else 0.75\n",
    "#     n = 500 if i == 'else' else 200\n",
    "#     x = x[:,np.random.permutation(x.shape[1])[:n]]\n",
    "# for y_i in np.unique(data['y'])\n",
    "yz = 0.1 + np.zeros_like(y)\n",
    "c = np.array([y*.9]*3).T\n",
    "ax.scatter3D(x[0], x[1], x[2], c=c, marker='o', s=20, alpha=0.3)\n",
    "\n",
    "plt.legend(loc=\"best\")\n",
    "plt.tight_layout()\n",
    "# plt.show()\n",
    "#     fig.savefig(fmt.format(cfg=cfg), transparent=True)\n",
    "\n",
    "# fig = plt.figure(figsize=(8, 8))\n",
    "# ax = fig.gca(projection='3d')\n",
    "\n",
    "ax.view_init(elev=20, azim=65)\n",
    "alpha = 0.66\n",
    "\n",
    "for c, i in zip('bgrm', ['trc', 'tp', 'sxt', 'klb']):\n",
    "    row = res[res.instrument == i].iloc[1]\n",
    "    print(row)\n",
    "    z_out = np.load(row.prediction)['z_out'].T\n",
    "    ax.plot3D(z_out[0], z_out[1], z_out[2], c, linewidth=2, \n",
    "              alpha=alpha)\n",
    "    ax.scatter3D(z_out[0, 0], z_out[1, 0], z_out[2, 0],\n",
    "                 s=100, marker='o', c=c, alpha=alpha)\n",
    "    z_med = np.median(z_out, axis=1)\n",
    "    ax.scatter3D(z_med[0], z_med[1], z_med[2],\n",
    "                 s=100, marker='p', c=c, alpha=1)\n",
    "    ax.scatter3D(z_out[0, -1], z_out[1, -1], z_out[2, -1],\n",
    "                 s=100, marker='^', c=c, alpha=alpha)\n",
    "\n",
    "# x_in = np.load(row.features)['cqt'].squeeze()\n",
    "# fig = plt.figure(figsize=(8, 8))\n",
    "# ax = fig.gca()\n",
    "# ax.imshow(x_in.T, **pltargs)\n",
    "ax.set_xlim(-1, 1)\n",
    "ax.set_ylim(-1, 1)\n",
    "ax.set_zlim(-1, 1)\n",
    "plt.tight_layout()\n",
    "# plt.show()\n",
    "\n",
    "fig.savefig(\"/home/ejhumphrey/src/icml16-dml/paper/inst-pitch-d2_adsr.png\", \n",
    "            transparent=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def embedding_batches(holdout_index, full_set, num_items=500, seed=123):\n",
    "    rng = np.random.RandomState(seed=seed)\n",
    "    index = holdout_index.tolist()\n",
    "    rng.shuffle(index)\n",
    "    holdout_set = full_set.loc[index[:num_items]]\n",
    "    print(holdout_set.shape)\n",
    "    nbs = D.pitch_neighbors(holdout_set)\n",
    "    cstream = D.class_stream(nbs, holdout_set, with_meta=True)\n",
    "    return D.pescador.buffer_batch(D.class_stream(nbs, holdout_set), buffer_size=2500)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def draw_data(data, rows, elev=20, azim=65, savefig=''):\n",
    "    x = data['x_in'].T\n",
    "    y = data['y'].astype(float)\n",
    "    y /= y.max()\n",
    "\n",
    "    fig = plt.figure(figsize=(8, 8))\n",
    "    ax = fig.gca(projection='3d')\n",
    "    yz = 0.1 + np.zeros_like(y)\n",
    "    c = np.array([y*.9]*3).T\n",
    "    ax.scatter3D(x[0], x[1], x[2], c=c, marker='o', s=20, alpha=0.3)\n",
    "    \n",
    "    max_val = max([np.abs(x).max(), 1])\n",
    "    plt.legend(loc=\"best\")\n",
    "    plt.tight_layout()\n",
    "    \n",
    "    ax.view_init(elev=elev, azim=azim)\n",
    "    alpha = 0.66\n",
    "\n",
    "    for c, (_, row) in zip('bgrm', rows.iterrows()):\n",
    "        z_out = np.load(row.prediction)['z_out'].T\n",
    "        max_val = max([max_val, np.abs(z_out).max()])\n",
    "        ax.plot3D(z_out[0], z_out[1], z_out[2], c, linewidth=2, \n",
    "                  alpha=alpha)\n",
    "        ax.scatter3D(z_out[0, 0], z_out[1, 0], z_out[2, 0],\n",
    "                     s=100, marker='o', c=c, alpha=alpha)\n",
    "        z_med = np.median(z_out, axis=1)\n",
    "        ax.scatter3D(z_med[0], z_med[1], z_med[2],\n",
    "                     s=100, marker='p', c=c, alpha=1)\n",
    "        ax.scatter3D(z_out[0, -1], z_out[1, -1], z_out[2, -1],\n",
    "                     s=100, marker='^', c=c, alpha=alpha)\n",
    "    \n",
    "    \n",
    "    ax.set_xlim(-max_val, max_val)\n",
    "    ax.set_ylim(-max_val, max_val)\n",
    "    ax.set_zlim(-max_val, max_val)\n",
    "    plt.tight_layout()\n",
    "    \n",
    "#     if savefig:\n",
    "#         fig.savefig(savefig, transparent=True)\n",
    "    return fig, ax"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "df = pd.read_json(\n",
    "    \"/media/ejhumphrey/workspace/icml-dml/embeddings\"\n",
    "    \"/instpitch-000-050000-20160611_23h46m35s/output_index.json\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(500, 6)\n"
     ]
    }
   ],
   "source": [
    "batches = embedding_batches(test.index, df, 500, 123)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "data = next(batches)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[u'trc_48_5d39bbea3448835fd58bd251c250c143', u'trc_60_eeb135f9c72c330e26e26687536f7257', u'trc_72_f5fb3b6fd42108418d636536ca7be4df']\n"
     ]
    }
   ],
   "source": [
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ('trc_48', 'trc_60', 'trc_72')]\n",
    "print(idx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fcode                           5d39bbea3448835fd58bd251c250c143\n",
      "features       /media/ejhumphrey/workspace/icml-dml/features/...\n",
      "inst_note                                                 trc_48\n",
      "instrument                                                   trc\n",
      "note_number                                                   48\n",
      "prediction     /media/ejhumphrey/workspace/icml-dml/embedding...\n",
      "Name: trc_48_5d39bbea3448835fd58bd251c250c143, dtype: object\n",
      "fcode                           eeb135f9c72c330e26e26687536f7257\n",
      "features       /media/ejhumphrey/workspace/icml-dml/features/...\n",
      "inst_note                                                 trc_60\n",
      "instrument                                                   trc\n",
      "note_number                                                   60\n",
      "prediction     /media/ejhumphrey/workspace/icml-dml/embedding...\n",
      "Name: trc_60_eeb135f9c72c330e26e26687536f7257, dtype: object\n",
      "fcode                           f5fb3b6fd42108418d636536ca7be4df\n",
      "features       /media/ejhumphrey/workspace/icml-dml/features/...\n",
      "inst_note                                                 trc_72\n",
      "instrument                                                   trc\n",
      "note_number                                                   72\n",
      "prediction     /media/ejhumphrey/workspace/icml-dml/embedding...\n",
      "Name: trc_72_f5fb3b6fd42108418d636536ca7be4df, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# Instpitch embedding\n",
    "df = pd.read_json(\n",
    "    \"/media/ejhumphrey/workspace/icml-dml/embeddings\"\n",
    "    \"/instpitch-000-050000-20160611_23h46m35s/output_index.json\")\n",
    "batches = embedding_batches(test.index, df, 500, 123)\n",
    "data = next(batches)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<generator object iterrows at 0x9ec19f04>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ('trc_48', 'trc_60', 'trc_72')]\n",
    "\n",
    "fig, ax = draw_data(data, df.loc[idx], elev=20, azim=20)\n",
    "ax.set_title(\"Trumpet - C4, C5, C6\")\n",
    "fig.savefig(\"/home/ejhumphrey/src/icml16-dml/figures/instpitch_trc48-60-72.png\",\n",
    "            transparent=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "fcode                           fc5b091c245ef9a81aa7693be77c6035\n",
      "features       /media/ejhumphrey/workspace/icml-dml/features/...\n",
      "inst_note                                                 trc_48\n",
      "instrument                                                   trc\n",
      "note_number                                                   48\n",
      "prediction     /media/ejhumphrey/workspace/icml-dml/embedding...\n",
      "Name: trc_48_fc5b091c245ef9a81aa7693be77c6035, dtype: object\n",
      "fcode                           c5f3cb218a29f2c6bb7dd0b8aba103a1\n",
      "features       /media/ejhumphrey/workspace/icml-dml/features/...\n",
      "inst_note                                                 afl_48\n",
      "instrument                                                   afl\n",
      "note_number                                                   48\n",
      "prediction     /media/ejhumphrey/workspace/icml-dml/embedding...\n",
      "Name: afl_48_c5f3cb218a29f2c6bb7dd0b8aba103a1, dtype: object\n",
      "fcode                           fc53e3f6b0c5648e3a45961b2ff04cd2\n",
      "features       /media/ejhumphrey/workspace/icml-dml/features/...\n",
      "inst_note                                                  vi_48\n",
      "instrument                                                    vi\n",
      "note_number                                                   48\n",
      "prediction     /media/ejhumphrey/workspace/icml-dml/embedding...\n",
      "Name: vi_48_fc53e3f6b0c5648e3a45961b2ff04cd2, dtype: object\n"
     ]
    }
   ],
   "source": [
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ('trc_48', 'afl_48', 'vi_48')]\n",
    "fig, ax = draw_data(data, df.loc[idx], elev=20, azim=5)\n",
    "ax.set_title(\"C4 - Trumpet, Alto Flute, Violin\")\n",
    "fig.savefig(\"/home/ejhumphrey/src/icml16-dml/figures/instpitch_48_trc-afl-vi.png\",\n",
    "            transparent=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1000, 6)\n"
     ]
    }
   ],
   "source": [
    "# Instrument embedding\n",
    "df = pd.read_json(\n",
    "    \"/media/ejhumphrey/workspace/icml-dml/embeddings\"\n",
    "    \"/instrument-000-050000-20160611_18h21m39s/output_index.json\")\n",
    "batches = embedding_batches(test.index, df, 1000, 123)\n",
    "inst_data = next(batches)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ('trc_48', 'trc_60', 'trc_72')]\n",
    "\n",
    "fig, ax = draw_data(inst_data, df.loc[idx], elev=20, azim=20)\n",
    "ax.set_title(\"Trumpet - C4, C5, C6\")\n",
    "# fig.savefig(\"/home/ejhumphrey/src/icml16-dml/figures/instpitch_trc48-60-72.png\",\n",
    "#             transparent=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def fig_to_ndarray(fig, **kwargs):\n",
    "    buffer_ = StringIO()\n",
    "    fig.savefig(buffer_, format=\"png\", **kwargs)\n",
    "    buffer_.seek(0)\n",
    "    image = PIL.Image.open(buffer_)\n",
    "    arr = np.asarray(image)\n",
    "    buffer_.close()\n",
    "    return arr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def draw_rotated_data(data, rows, elev=20, azim_step=5, fps=12, savefig=''):\n",
    "    x = data['x_in'].T\n",
    "    y = data['y'].astype(float)\n",
    "    y /= y.max()\n",
    "\n",
    "    fig = plt.figure(figsize=(8, 8))\n",
    "    ax = fig.gca(projection='3d')\n",
    "    yz = 0.1 + np.zeros_like(y)\n",
    "    c = np.array([y*.9]*3).T\n",
    "    ax.scatter3D(x[0], x[1], x[2], c=c, marker='o', s=20, alpha=0.3)\n",
    "    \n",
    "    max_val = max([np.abs(x).max(), 1])\n",
    "    plt.legend(loc=\"best\")\n",
    "    plt.tight_layout()\n",
    "    \n",
    "    alpha = 0.66\n",
    "\n",
    "    for c, (_, row) in zip('bgrm', rows.iterrows()):\n",
    "        z_out = np.load(row.prediction)['z_out'].T\n",
    "        max_val = max([max_val, np.abs(z_out).max()])\n",
    "        ax.plot3D(z_out[0], z_out[1], z_out[2], c, linewidth=2, \n",
    "                  alpha=alpha)\n",
    "        ax.scatter3D(z_out[0, 0], z_out[1, 0], z_out[2, 0],\n",
    "                     s=100, marker='o', c=c, alpha=alpha)\n",
    "        z_med = np.median(z_out, axis=1)\n",
    "        ax.scatter3D(z_med[0], z_med[1], z_med[2],\n",
    "                     s=100, marker='p', c=c, alpha=1)\n",
    "        ax.scatter3D(z_out[0, -1], z_out[1, -1], z_out[2, -1],\n",
    "                     s=100, marker='^', c=c, alpha=alpha)\n",
    "    \n",
    "    \n",
    "    ax.set_xlim(-max_val, max_val)\n",
    "    ax.set_ylim(-max_val, max_val)\n",
    "    ax.set_zlim(-max_val, max_val)\n",
    "    plt.tight_layout()\n",
    "    \n",
    "    frames = []\n",
    "    pbar = progressbar.ProgressBar(max_value=360).start()\n",
    "    for az in np.arange(0, 360, azim_step):\n",
    "        pbar.update(az)\n",
    "        ax.view_init(elev=elev, azim=az)\n",
    "        fig.canvas.draw()\n",
    "        frames += [fig_to_ndarray(fig, transparent=True)]\n",
    "    \n",
    "    imageio.mimwrite(savefig, frames, fps=fps, palettesize=256)\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98% (355 of 360) |################################################ | Elapsed Time: 0:00:42 Elapsed Time: 0:00:42"
     ]
    }
   ],
   "source": [
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ('trc_48', 'trc_60', 'trc_72')]\n",
    "\n",
    "draw_rotated_data(\n",
    "    inst_data, df.loc[idx], elev=20, \n",
    "    azim_step=5, fps=12.0,\n",
    "    savefig='figures/inst-trc-C456.gif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98% (355 of 360) |################################################ | Elapsed Time: 0:00:42 Elapsed Time: 0:00:42"
     ]
    }
   ],
   "source": [
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ('trc_48', 'afl_48', 'vi_48')]\n",
    "\n",
    "draw_rotated_data(\n",
    "    inst_data, df.loc[idx], elev=20, \n",
    "    azim_step=5, fps=12.0,\n",
    "    savefig='figures/instrument-000_trc_48,afl_48,vi_48.gif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1000, 6)\n"
     ]
    }
   ],
   "source": [
    "# Pitch embedding\n",
    "df = pd.read_json(\n",
    "    \"/media/ejhumphrey/workspace/icml-dml/embeddings\"\n",
    "    \"/pitch-000-050000-20160611_21h02m48s/output_index.json\")\n",
    "batches = embedding_batches(test.index, df, 1000, 123)\n",
    "pitch_data = next(batches)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98% (355 of 360) |################################################ | Elapsed Time: 0:00:42 Elapsed Time: 0:00:42"
     ]
    }
   ],
   "source": [
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ('trc_48', 'trc_60', 'trc_72')]\n",
    "\n",
    "draw_rotated_data(\n",
    "    pitch_data, df.loc[idx], elev=20, \n",
    "    azim_step=5, fps=12.0,\n",
    "    savefig='figures/pitch-000_trc_48,trc_60,trc_72.gif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98% (355 of 360) |################################################ | Elapsed Time: 0:00:42 Elapsed Time: 0:00:42"
     ]
    }
   ],
   "source": [
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ('trc_48', 'afl_48', 'vi_48')]\n",
    "\n",
    "draw_rotated_data(\n",
    "    pitch_data, df.loc[idx], elev=20, \n",
    "    azim_step=5, fps=12.0,\n",
    "    savefig='figures/pitch-000_trc_48,afl_48,vi_48.gif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1000, 6)\n"
     ]
    }
   ],
   "source": [
    "# Instrument-Pitch embedding\n",
    "df = pd.read_json(\n",
    "    \"/media/ejhumphrey/workspace/icml-dml/embeddings\"\n",
    "    \"/instpitch-000-050000-20160611_23h46m35s/output_index.json\")\n",
    "batches = embedding_batches(test.index, df, 1000, 123)\n",
    "instpitch_data = next(batches)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98% (355 of 360) |################################################ | Elapsed Time: 0:00:40 Elapsed Time: 0:00:40"
     ]
    }
   ],
   "source": [
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ('trc_48', 'trc_60', 'trc_72')]\n",
    "\n",
    "draw_rotated_data(\n",
    "    instpitch_data, df.loc[idx], elev=20, \n",
    "    azim_step=5, fps=12.0,\n",
    "    savefig='figures/instpitch-000_trc_48,trc_60,trc_72.gif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98% (355 of 360) |################################################ | Elapsed Time: 0:00:40 Elapsed Time: 0:00:40"
     ]
    }
   ],
   "source": [
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ('trc_48', 'afl_48', 'vi_48')]\n",
    "\n",
    "draw_rotated_data(\n",
    "    instpitch_data, df.loc[idx], elev=20, \n",
    "    azim_step=5, fps=12.0,\n",
    "    savefig='figures/instpitch-000_trc_48,afl_48,vi_48.gif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(1000, 6)\n"
     ]
    }
   ],
   "source": [
    "# Instrument-Pitch embedding\n",
    "df = pd.read_json(\n",
    "    \"/media/ejhumphrey/workspace/icml-dml/embeddings\"\n",
    "    \"/instpitch-d2-000-050000-20160612_02h32m03s/output_index.json\")\n",
    "batches = embedding_batches(test.index, df, 1000, 123)\n",
    "instpitch2_data = next(batches)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98% (355 of 360) |################################################ | Elapsed Time: 0:00:43 Elapsed Time: 0:00:43"
     ]
    }
   ],
   "source": [
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ('trc_48', 'trc_60', 'trc_72')]\n",
    "\n",
    "draw_rotated_data(\n",
    "    instpitch2_data, df.loc[idx], elev=20, \n",
    "    azim_step=5, fps=12.0,\n",
    "    savefig='figures/instpitch-d2-000_trc_48,trc_60,trc_72.gif')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      " 98% (355 of 360) |################################################ | Elapsed Time: 0:00:42 Elapsed Time: 0:00:42"
     ]
    }
   ],
   "source": [
    "ikeys = ('trc_48', 'tp_48', 'tu_48', 'ho_48')\n",
    "idx = [random.choice(df[df.inst_note == k].index.tolist()) \n",
    "       for k in ikeys]\n",
    "\n",
    "draw_rotated_data(\n",
    "    instpitch2_data, df.loc[idx], elev=20, \n",
    "    azim_step=5, fps=12.0,\n",
    "    savefig='figures/instpitch-d2-000_{}.gif'.format(\",\".join(ikeys)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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